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Energy Engineering
ARTICLE

Data-Driven and Physics-Informed Surrogate Modeling for Heat Conduction in the Pressurizer Wall of Pressurized Water Reactors under Severe Accident Scenarios

Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...

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Energy Engineering
ARTICLE

Hydraulic Fracture Conductivity Loss Mechanisms for Unconsolidated Sands Considering Fine Migrations and Proppant Embedments

To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...

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Energy Engineering
ARTICLE

Assessment of Carbon Reduction Potential Driven by High Energy Consumption Enterprises’ Electricity Usage Behavior

Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...

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Oncology Research
REVIEW

The Role of Immunotherapy in Resectable Non-Small Cell Lung Cancer

The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...

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Oncology Research
REVIEW

AI-Guided Discovery of Oncogenic Signaling Crosstalk in Tumor Progression and Drug Resistance

The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...

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Oncology Research
REVIEW

Therapeutic Targets for Overcoming BCR::ABL1 Tyrosine Kinase Inhibitor Resistance in Chronic Myeloid Leukemia

Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...

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Oncology Research
REVIEW

Current Advances in Preclinical Patient-Derived Cultivation Models for Individualized Drug Response Prediction in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...

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Computers, Materials & Continua
REVIEW

Multiscale Numerical Simulation of Dynamic Damage and Fracture in Metallic Materials: A Review

This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...

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Computers, Materials & Continua
REVIEW

Task Offloading and Edge Computing in IoT—Gaps, Challenges and Future Directions

This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...

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Computers, Materials & Continua
REVIEW

3D Single Object Tracking in Point Clouds: A Review

3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...

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Computers, Materials & Continua
REVIEW

Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes

This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...

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Computers, Materials & Continua
ARTICLE

Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials

The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...

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Computers, Materials & Continua
ARTICLE

Robust Facial Landmark Detection via Transformer-Conv Attention

In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...

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Computers, Materials & Continua
REVIEW

A Systematic Literature Review on the Impact of Generative AI in Digital Marketing: Advancements, Opportunities, and Challenges

Generative Artificial Intelligence (AI) is reshaping digital marketing by creating automated content, personalizing campaigns, and offering new ways to...

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Journal of Polymer Materials
REVIEW

Multifunctional Carbonaceous Nanoreinforced Polymeric Nanofibers—Bridging Fundamental Aspects to Technological Resolves

Purpose of this novel review article is to unfold the current scientific worth of high performance polymer nanocomposite nanofibers, owing to growing...

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Journal of Polymer Materials
ARTICLE

Influence of Processing Route on the Mechanical Properties of Poly(Lactic Acid)-Poly(Caprolactone)-Basalt Fiber Composites Prepared via Planetary Extrusion

A comparative analysis was performed on poly(lactic acid) (PLA), poly(caprolactone) (PCL), basalt fiber (BF) composites produced using two distinct approaches:...

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Oncology Research
Special Issue

Advances in the Discovery and Development of Novel Anticancer Compounds

The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...

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Oncology Research
Special Issue

Epigenetics and Epitranscriptomics in Cancer Biology and Therapy

Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...

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Energy Engineering
Special Issue

Model-based and Learning Methods for Optimization and Management of Energy Flows in Decentralized Smart Grids

The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...

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BIOCELL
Special Issue

Epigenetic and ncRNA Biomarkers in Cancer: Diagnostic and Prognostic Value

Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...

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Journal of Polymer Materials
Special Issue

Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical Applications

We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...

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Fluid Dynamics & Materials Processing
Special Issue

Fluid and Thermal Dynamics in the Development of Unconventional Resources III

Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...

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Computer Modeling in Engineering & Sciences
Special Issue

Machine Learning and Deep Learning-Based Pattern Recognition

In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...

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Computer Modeling in Engineering & Sciences
Special Issue

Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges

This special issue, “Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges,” showcases the transformative power of...

article image
Energy Engineering
ARTICLE

Data-Driven and Physics-Informed Surrogate Modeling for Heat Conduction in the Pressurizer Wall of Pressurized Water Reactors under Severe Accident Scenarios

Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...

article image
Energy Engineering
ARTICLE

Hydraulic Fracture Conductivity Loss Mechanisms for Unconsolidated Sands Considering Fine Migrations and Proppant Embedments

To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...

article image
Energy Engineering
ARTICLE

Assessment of Carbon Reduction Potential Driven by High Energy Consumption Enterprises’ Electricity Usage Behavior

Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...

article image
Oncology Research
REVIEW

The Role of Immunotherapy in Resectable Non-Small Cell Lung Cancer

The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...

article image
Oncology Research
REVIEW

AI-Guided Discovery of Oncogenic Signaling Crosstalk in Tumor Progression and Drug Resistance

The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...

article image
Oncology Research
REVIEW

Therapeutic Targets for Overcoming BCR::ABL1 Tyrosine Kinase Inhibitor Resistance in Chronic Myeloid Leukemia

Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...

article image
Oncology Research
REVIEW

Current Advances in Preclinical Patient-Derived Cultivation Models for Individualized Drug Response Prediction in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...

article image
Computers, Materials & Continua
REVIEW

Multiscale Numerical Simulation of Dynamic Damage and Fracture in Metallic Materials: A Review

This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...

article image
Computers, Materials & Continua
REVIEW

Task Offloading and Edge Computing in IoT—Gaps, Challenges and Future Directions

This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...

article image
Computers, Materials & Continua
REVIEW

3D Single Object Tracking in Point Clouds: A Review

3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...

article image
Computers, Materials & Continua
REVIEW

Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes

This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...

article image
Computers, Materials & Continua
ARTICLE

Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials

The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...

article image
Computers, Materials & Continua
ARTICLE

Robust Facial Landmark Detection via Transformer-Conv Attention

In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...

article image
Computers, Materials & Continua
REVIEW

A Systematic Literature Review on the Impact of Generative AI in Digital Marketing: Advancements, Opportunities, and Challenges

Generative Artificial Intelligence (AI) is reshaping digital marketing by creating automated content, personalizing campaigns, and offering new ways to...

article image
Journal of Polymer Materials
REVIEW

Multifunctional Carbonaceous Nanoreinforced Polymeric Nanofibers—Bridging Fundamental Aspects to Technological Resolves

Purpose of this novel review article is to unfold the current scientific worth of high performance polymer nanocomposite nanofibers, owing to growing...

article image
Journal of Polymer Materials
ARTICLE

Influence of Processing Route on the Mechanical Properties of Poly(Lactic Acid)-Poly(Caprolactone)-Basalt Fiber Composites Prepared via Planetary Extrusion

A comparative analysis was performed on poly(lactic acid) (PLA), poly(caprolactone) (PCL), basalt fiber (BF) composites produced using two distinct approaches:...

article image
Oncology Research
Special Issue

Advances in the Discovery and Development of Novel Anticancer Compounds

The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...

article image
Oncology Research
Special Issue

Epigenetics and Epitranscriptomics in Cancer Biology and Therapy

Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...

article image
Energy Engineering
Special Issue

Model-based and Learning Methods for Optimization and Management of Energy Flows in Decentralized Smart Grids

The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...

article image
BIOCELL
Special Issue

Epigenetic and ncRNA Biomarkers in Cancer: Diagnostic and Prognostic Value

Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...

article image
Journal of Polymer Materials
Special Issue

Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical Applications

We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...

article image
Fluid Dynamics & Materials Processing
Special Issue

Fluid and Thermal Dynamics in the Development of Unconventional Resources III

Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Machine Learning and Deep Learning-Based Pattern Recognition

In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges

This special issue, “Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges,” showcases the transformative power of...

Latest Articles
Computers, Materials & Continua
Article

A Novel Adaptive Deep Learning-Based Intrusion Detection System Using Particle Swarm Optimization

The rapid emergence of sophisticated, dynamic, and rare or previously unseen attack pattern exposes fundamental limitations of conventional intrusion detection systems (IDS) based on static learning architectures. While deep learning (DL) models have demonstrated strong performance by capturing complex spatial and temporal traffic patterns, existing DL-based IDS largely rely on fixed decision structures, restricting adaptability to evolving threats. Furthermore, current hybrid DL-metaheuristic approaches typically use such metaheuristics as offline or auxiliary optimizers, without interacting with…

Computers, Materials & Continua
Article

LAH-Net: A Low-Light Aware Hybrid Network for Robotic Manipulation

Accurate grasp detection is fundamental to successful robotic manipulation. Existing methods achieve reliable performance under good light conditions. However, their performance in low-light environments suffers from severe degradation due to the diminishing discriminative ability of visual features. In this paper, a novel low-light aware hybrid network LAH-Net is proposed. It comprises an alternating transformer-CNN module (ATCM) between the encoder and decoder, and a knowledge distillation-guided low-light enhancement module (KDLEM) before the encoder, which is activated…

Computers, Materials & Continua
Article

Constrained LLM-Guided Refactoring of JavaScript: A Smell-Targeted Transformation Framework with Human-in-the-Loop Validation

Refactoring improves maintainability without altering externally observable behavior, yet it remains costly and error-prone when applied manually at scale. While large language models (LLMs) can generate plausible refactorings, practical adoption is limited by uncontrolled edit scope, inconsistent outputs under stochastic decoding, and weak traceability of why a change was produced. This paper proposes a smell-targeted, scope-bound refactoring framework for JavaScript that couples deterministic AST-based smell detection with constrained LLM transformation. The key design principle is…

Computers, Materials & Continua
Article

Android Software Malicious Detection Based on Dynamic Network Traffic Mixing API Information and Feature Importance Analysis

Accurate malware identification and family categorization remain significant challenges in large-scale Android software analysis. Although deep learning has surpassed traditional machine learning in performance, its widespread adoption is hindered by the computational overhead stemming from feature redundancy and the lack of interpretability inherent in its black-box nature. To address these issues, this paper proposes DroidNTA, a DL-based detection model that fuses network traffic and API features. The model first constructs a simplified API Call Graph…

Computers, Materials & Continua
Article

A Low-Code Orchestration Middleware for Secure and Transparent IoT–Blockchain Integration

The integration of Internet of Things (IoT) infrastructures with Distributed Ledger Technologies (DLT) remains challenging due to the reliance on complex, tightly coupled back-end systems or centralized oracle services that hinder scalability, maintainability, and trust. This paper introduces a lightweight middleware architecture based on a Low-Code Development Platform (LCDP) that enables flexible and secure IoT-to-blockchain orchestration. We develop a custom workflow extension for the n8n platform that supports direct interaction with smart contracts, thereby removing…

Computers, Materials & Continua
Article

A Prosody-Guided Multi-Stream Framework for Universal Detection of AI-Synthesized Speech across Codec and Vocoder Domains

Recent advancements in AI-synthesized speech have resulted in highly realistic deepfake audio, posing severe threats to authentication systems and digital media trust. Existing detection models struggle to generalize across diverse synthesis methods, especially those involving neural codec-based Audio Language Models (ALMs). In this work, we propose UniTector++, a novel prosody-aware, multi-stream detection architecture that generalizes across vocoder- and codec-based synthesis. UniTector++ incorporates three complementary streams—Whisper-based semantic embeddings, high-level prosodic features, and codec artifact representations—fused through…

Computers, Materials & Continua
Article

Deep Learning Driven Real-Time PCB Inspection Using an Optimized YOLO v9 Architecture

Printed circuit boards (PCBs) are essential components that strongly influence the performance and reliability of modern electronic systems. However, minor and visually subtle manufacturing defects can degrade product quality and pose serious challenges for automated inspection systems. Existing deep learning–based methods often struggle to simultaneously achieve high detection accuracy, real-time processing speed, and compact model size. This study proposes an enhanced approach for real-time PCB defect detection using advanced object detection models. A dedicated dataset…

Computers, Materials & Continua
Article

H-LoRA: Rethinking Rank Selection for Controllable Knowledge Retention in Edge AI

The deployment of specialized language models in resource-constrained edge environments (1B parameters, 2 GB memory, 100 ms latency) faces a critical challenge: Supervised Fine-Tuning (SFT) achieves domain expertise but suffers from irreversible catastrophic forgetting, while traditional Low-Rank Adaptation (LoRA) with conservative ranks (r  64) often underperforms due to insufficient adaptation capacity. This work introduces H-LoRA (High-Rank LoRA) for edge-deployable models and establishes a fundamental distinction between destructive forgetting and controllable knowledge retention. Through comprehensive…

Computers, Materials & Continua
Review

A Challenge-Driven Survey on UAV-Based Target Tracking

Unmanned Aerial Vehicle (UAV) target tracking is one of the key technologies in aerial intelligent perception systems, playing a vital role in applications such as traffic monitoring, border patrol, disaster response, search and rescue, environmental monitoring, and military reconnaissance. Compared with generic object tracking tasks, UAV platforms exhibit significant differences in imaging perspectives, target scales, motion patterns, and onboard computing capabilities, which pose unique challenges for UAV target tracking, including small targets and drastic scale…

Computers, Materials & Continua
Article

Proactive Mobility-Aware Fog Service Continuity Using Digital Twins and GRU–EWMA-Based Association Forecasting

Mobile fog computing must support latency-sensitive applications under dynamic user mobility and time-varying network conditions. Existing mobility-aware scheduling approaches are largely reactive and often ignore prediction uncertainty, resulting in service disruptions and inefficient task migration. This paper proposes an uncertainty-aware digital twin-based orchestration framework for proactive mobility-aware fog computing. The framework maintains real-time synchronized digital twins of users and fog nodes and integrates a hybrid Gated Recurrent Unit-Exponentially Weighted Moving Average (GRU-EWMA) mobility prediction model…

Computers, Materials & Continua
Article

Safe Robot Control through Multi-Task Offline Reinforcement Learning with Multi-Scale Distribution Debiasing

Robots perform diverse tasks in real-world scenarios. In safety-critical applications, robot control must prioritize satisfying safety constraints in addition to achieving high performance. Offline safe reinforcement learning avoids risky online exploration by training from a given dataset. However, most existing methods overlook two issues in offline data. First, non-zero cost signals are typically sparse, which leads to inaccurate cost value estimates and makes it difficult to impose effective safety constraints on the policy. Second, an…

Computers, Materials & Continua
Article

A Hybrid Self-Supervised Learning Framework for Advanced Persistent Threat Detection

Advanced Persistent Threats (APTs) are stealthy cyberattacks that can evade detection in system-level audit logs. Provenance graphs encode these logs as interacting entities and events, exposing a causal and dependency structure that is often obscured in linear representations. Prior provenance-based detectors typically apply anomaly detection over such graphs, yet they frequently incur high false-positive rates and produce coarse grained alerts; moreover, approaches that heavily depend on node-specific identifiers (e.g., file paths) can learn spurious correlations,…

Computers, Materials & Continua
Article

Hybrid Flow Shop Rescheduling Approach Based on Hybrid-Driven Mechanism and Improved Multi-Objective WOA

To ensure an effective disturbance response and maintain continuous production in hybrid flow shops, this paper focuses on the design of a rescheduling method. A rescheduling model is constructed that minimizes the makespan, total tardiness, and scheme deviation degree. A hybrid rescheduling driving mechanism based on the latest completion time is designed to effectively trigger rescheduling. The Whale Optimization Algorithm (WOA) is improved by integrating the good point set theory, nonlinear control parameter strategy, and…

Computers, Materials & Continua
Article

An HRMCTS-Based Optimization Method for Efficient Multi-Objective Path Planning

Path planning for unmanned systems in complex environments must simultaneously satisfy safety, kinematic feasibility, and real-time performance requirements. Monte Carlo Tree Search (MCTS) offers advantages such as model-free operation, strong interpretability, and anytime planning capability, but it suffers from large branching factors, excessive search depths, and poor convergence under sparse reward conditions in high-dimensional state spaces. To address these challenges, this paper proposes a Heuristic Rolling Monte Carlo Tree Search (HRMCTS) framework. First, the path…

Computers, Materials & Continua
Article

Month-Conditioned Boosting Framework with SHAP-in-the-Loop for Short-Term Electricity Load Forecasting

Accurate short-term load forecasting is essential for reliable power system operation, particularly under the increasing uncertainty caused by abnormal weather and socio-economic fluctuations. This study presents a month-conditioned boosting framework that integrates SHapley Additive Explanations (SHAPs) into model refinement. A baseline XGBoost model was first compared with linear and tree-based regressors, followed by enhancements through lagged and rolling-window features as well as loss weighting for vulnerable months. To further improve the performance, SHAP analysis was…

Computers, Materials & Continua
Article

Ratcheting Behavior and Intelligent Prediction Algorithms for Inner Liner Welds of Multi-Layered Pressure Vessels

The plastic strain accumulation results of the multi-layered wrapped pressure vessel liner during long-term service are an important basis for its safety performance evaluation. However, the complex welds distributed on the liner bring challenges to the calculation of plastic cumulative strain. To this end, a novel hybrid deep learning framework is proposed for the efficient and precise prediction of ratcheting behavior in the liner welds of multilayered pressure vessels. By employing a BiLSTM network to…

Call for papers
Special Issue
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Oncology Research

Extracellular Vesicles (EVs) in Cancer...

Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026

Special Issue
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Computers, Materials & Continua

Deep Learning for Object Detection and...

Guest Editors: Víctor García Deadline: 31 December 2026

Special Issue
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Journal of Polymer Materials

Polymer-based Functional Composite Materials:...

Guest Editors: Dawei Jiang; Miaojun Xu; Bo Jiang; Zijian Wu Deadline: 31 December 2026

Special Issue
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International Journal of Mental Health...

Promoting Mental Health and Cognitive...

Guest Editors: Jian-Hong Ye; Weiguaju Nong Deadline: 31 December 2026

Special Issue
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Journal of Polymer Materials

From Bioelectronics to Robotics: Functional...

Guest Editors: Changhong LINGHU; Hoon Eui Jeong; Ying Jiang; Jiangtao Su; Yangchengyi... Deadline: 30 December 2026

Special Issue
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Oncology Research

Therapeutic Targeting of Tumor Metabolism

Guest Editors: Fátima Martel Deadline: 30 November 2026

Special Issue
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Computer Modeling in Engineering & Sciences

Advanced Artificial Intelligence and...

Guest Editors: Wei-Chiang Hong; Yi Liang; Ming-Wei Li; Zhong-Yi Yang Deadline: 30 November 2026

Special Issue
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Journal of Polymer Materials

Biodegradable or Superabsorbent Polymers:...

Guest Editors: Yahya Bachra Deadline: 30 November 2026

Special Issue
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Journal of Polymer Materials

Polymer Nanomaterials: Biosynthesis...

Guest Editors: Syed Mahmood; Pornanong Aramwit Deadline: 30 November 2026

Special Issue
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Phyton-International Journal of Experimental...

Advances in Genomics and Molecular Breeding...

Guest Editors: Emilio Cervantes Deadline: 31 October 2026

Special Issue
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Oncology Research

Exploring Cancer Biology through the...

Guest Editors: Maria Letizia Motti; Immacolata Belviso Deadline: 31 October 2026

Special Issue
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Computers, Materials & Continua

Vision, LiDAR, and Sensor Fusion-Based...

Guest Editors: Batyrkhan Omarov; Daniyar Sultan; Bakhytzhan Kulambayev Deadline: 30 October 2026

Special Issue
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Computers, Materials & Continua

Machine Learning for Robotics: Algorithms,...

Guest Editors: Daniel-Ioan Curiac; Dan Pescaru Deadline: 15 October 2026

Special Issue
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Computers, Materials & Continua

AI-Driven Image Processing and Pattern...

Guest Editors: Barmak Honarvar Shakibaei Asli Deadline: 01 October 2026

Special Issue
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Computer Modeling in Engineering & Sciences

Digital Twins and Virtual Engineering...

Guest Editors: Antonella Petrillo; Fabio De Felice Deadline: 30 September 2026

Special Issue
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Fluid Dynamics & Materials Processing

Advances in Chemical Propulsion for...

Guest Editors: Sergio Cassese; Giuseppe Gallo Deadline: 30 September 2026

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