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Computer Modeling in Engineering & Sciences
REVIEW

Artificial Intelligence-Driven Vehicle Fault Diagnosis to Revolutionize Automotive Maintenance: A Review

Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...

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Computer Modeling in Engineering & Sciences
ARTICLE

Three-Dimensional Multiferroic Structures under Time-Harmonic Loading

Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...

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Computer Modeling in Engineering & Sciences
REVIEW

An Investigation on Open-RAN Specifications: Use Cases, Security Threats, Requirements, Discussions

The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...

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Computer Modeling in Engineering & Sciences
REVIEW

Unlocking the Potential: A Comprehensive Systematic Review of ChatGPT in Natural Language Processing Tasks

As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...

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Computers, Materials & Continua
REVIEW

Unsupervised Time Series Segmentation: A Survey on Recent Advances

Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...

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Computers, Materials & Continua
REVIEW

Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...

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Computers, Materials & Continua
REVIEW

Security and Privacy Challenges in SDN-Enabled IoT Systems: Causes, Proposed Solutions, and Future Directions

Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...

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Computers, Materials & Continua
REVIEW

Evolution and Prospects of Foundation Models: From Large Language Models to Large Multimodal Models

Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...

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Computers, Materials & Continua
REVIEW

A Review of Image Steganography Based on Multiple Hashing Algorithm

Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...

article image
Computers, Materials & Continua
REVIEW

Randomization Strategies in Image Steganography Techniques: A Review

Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....

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Computers, Materials & Continua
REVIEW

AI-Driven Learning Management Systems: Modern Developments, Challenges and Future Trends during the Age of ChatGPT

COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...

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Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Systematic Review: Advancements in Skin Cancer Classification and Segmentation Using the ISIC Dataset

The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...

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Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Survey on Federated Learning in the Healthcare Area: Concept and Applications

Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and security....

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Journal of Renewable Materials
REVIEW

Application of Plant-Based Coagulants and Their Mechanisms in Water Treatment: A Review

This review describes the mechanisms of natural coagulants. It provides a good understanding of the two key processes of coagulation-flocculation: adsorption...

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Journal of Renewable Materials
ARTICLE

Morphological Evolution of Self-Assembled Sodium Dodecyl Sulfate/Dodecyltrimethylammonium Bromide@Epoxy-β-Cyclodextrin Supramolecular Aggregates Induced by Temperature

Bio-based cyclodextrins (CDs) are a common research object in supramolecular chemistry. The special cavity structure of CDs can form supramolecular self-assemblies...

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Computer Modeling in Engineering & Sciences
ARTICLE

Highly Differentiated Target Detection under Extremely Low-Light Conditions Based on Improved YOLOX Model

This paper expounds upon a novel target detection methodology distinguished by its elevated discriminatory efficacy, specifically tailored for environments...

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Oncology Research
Special Issue

Transcriptome Analysis in Tumor Microenvironment and Tumor Heterogeneity

The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...

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Computers, Materials & Continua
Special Issue

Machine Vision Detection and Intelligent Recognition

Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...

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Computers, Materials & Continua
Special Issue

Deep Learning based Object Detection and Tracking in Videos

Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Computer-Aided Uncertainty Modeling and Reliability Evaluation for Complex Engineering Structures

With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...

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BIOCELL
Special Issue

Extracellular Vesicles and Cancer

Extracellular vesicles  (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...

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Computer Modeling in Engineering & Sciences
Special Issue

Peridynamics and its Current Progress

The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...

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Computer Modeling in Engineering & Sciences
Special Issue

Recent Developments on Computational Biology-I

In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Computer Modeling for Smart Cities Applications

More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...

article image
Computer Modeling in Engineering & Sciences
REVIEW

Artificial Intelligence-Driven Vehicle Fault Diagnosis to Revolutionize Automotive Maintenance: A Review

Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...

article image
Computer Modeling in Engineering & Sciences
ARTICLE

Three-Dimensional Multiferroic Structures under Time-Harmonic Loading

Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...

article image
Computer Modeling in Engineering & Sciences
REVIEW

An Investigation on Open-RAN Specifications: Use Cases, Security Threats, Requirements, Discussions

The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...

article image
Computer Modeling in Engineering & Sciences
REVIEW

Unlocking the Potential: A Comprehensive Systematic Review of ChatGPT in Natural Language Processing Tasks

As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...

article image
Computers, Materials & Continua
REVIEW

Unsupervised Time Series Segmentation: A Survey on Recent Advances

Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...

article image
Computers, Materials & Continua
REVIEW

Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...

article image
Computers, Materials & Continua
REVIEW

Security and Privacy Challenges in SDN-Enabled IoT Systems: Causes, Proposed Solutions, and Future Directions

Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...

article image
Computers, Materials & Continua
REVIEW

Evolution and Prospects of Foundation Models: From Large Language Models to Large Multimodal Models

Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...

article image
Computers, Materials & Continua
REVIEW

A Review of Image Steganography Based on Multiple Hashing Algorithm

Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...

article image
Computers, Materials & Continua
REVIEW

Randomization Strategies in Image Steganography Techniques: A Review

Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....

article image
Computers, Materials & Continua
REVIEW

AI-Driven Learning Management Systems: Modern Developments, Challenges and Future Trends during the Age of ChatGPT

COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...

article image
Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Systematic Review: Advancements in Skin Cancer Classification and Segmentation Using the ISIC Dataset

The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...

article image
Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Survey on Federated Learning in the Healthcare Area: Concept and Applications

Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and security....

article image
Journal of Renewable Materials
REVIEW

Application of Plant-Based Coagulants and Their Mechanisms in Water Treatment: A Review

This review describes the mechanisms of natural coagulants. It provides a good understanding of the two key processes of coagulation-flocculation: adsorption...

article image
Journal of Renewable Materials
ARTICLE

Morphological Evolution of Self-Assembled Sodium Dodecyl Sulfate/Dodecyltrimethylammonium Bromide@Epoxy-β-Cyclodextrin Supramolecular Aggregates Induced by Temperature

Bio-based cyclodextrins (CDs) are a common research object in supramolecular chemistry. The special cavity structure of CDs can form supramolecular self-assemblies...

article image
Computer Modeling in Engineering & Sciences
ARTICLE

Highly Differentiated Target Detection under Extremely Low-Light Conditions Based on Improved YOLOX Model

This paper expounds upon a novel target detection methodology distinguished by its elevated discriminatory efficacy, specifically tailored for environments...

article image
Oncology Research
Special Issue

Transcriptome Analysis in Tumor Microenvironment and Tumor Heterogeneity

The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...

article image
Computers, Materials & Continua
Special Issue

Machine Vision Detection and Intelligent Recognition

Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...

article image
Computers, Materials & Continua
Special Issue

Deep Learning based Object Detection and Tracking in Videos

Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Computer-Aided Uncertainty Modeling and Reliability Evaluation for Complex Engineering Structures

With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...

article image
BIOCELL
Special Issue

Extracellular Vesicles and Cancer

Extracellular vesicles  (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Peridynamics and its Current Progress

The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Recent Developments on Computational Biology-I

In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Computer Modeling for Smart Cities Applications

More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...

Latest Articles
Computers, Materials & Continua
Article

V2I Physical Layer Security Beamforming with Antenna Hardware Impairments under RIS Assistance

The Internet of Vehicles (IoV) will carry a large amount of security and privacy-related data, which makes the secure communication between the IoV terminals increasingly critical. This paper studies the joint beamforming for physical-layer security transmission in the coexistence of Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication with Reconfigurable Intelligent Surface (RIS) assistance, taking into account hardware impairments. A communication model for physical-layer security transmission is established when the eavesdropping user is present and the base…

Computers, Materials & Continua
Article

LQTTrack: Multi-Object Tracking by Focusing on Low-Quality Targets Association

Multi-object tracking (MOT) has seen rapid improvements in recent years. However, frequent occlusion remains a significant challenge in MOT, as it can cause targets to become smaller or disappear entirely, resulting in low-quality targets, leading to trajectory interruptions and reduced tracking performance. Different from some existing methods, which discarded the low-quality targets or ignored low-quality target attributes. LQTTrack, with a low-quality association strategy (LQA), is proposed to pay more attention to low-quality targets. In the…

Computers, Materials & Continua
Article

Human Interaction Recognition in Surveillance Videos Using Hybrid Deep Learning and Machine Learning Models

Human Interaction Recognition (HIR) was one of the challenging issues in computer vision research due to the involvement of multiple individuals and their mutual interactions within video frames generated from their movements. HIR requires more sophisticated analysis than Human Action Recognition (HAR) since HAR focuses solely on individual activities like walking or running, while HIR involves the interactions between people. This research aims to develop a robust system for recognizing five common human interactions, such…

Computers, Materials & Continua
Article

Constructive Robust Steganography Algorithm Based on Style Transfer

Traditional information hiding techniques achieve information hiding by modifying carrier data, which can easily leave detectable traces that may be detected by steganalysis tools. Especially in image transmission, both geometric and non-geometric attacks can cause subtle changes in the pixels of the image during transmission. To overcome these challenges, we propose a constructive robust image steganography technique based on style transformation. Unlike traditional steganography, our algorithm does not involve any direct modifications to the carrier…

Computers, Materials & Continua
Article

Mural Anomaly Region Detection Algorithm Based on Hyperspectral Multiscale Residual Attention Network

Mural paintings hold significant historical information and possess substantial artistic and cultural value. However, murals are inevitably damaged by natural environmental factors such as wind and sunlight, as well as by human activities. For this reason, the study of damaged areas is crucial for mural restoration. These damaged regions differ significantly from undamaged areas and can be considered abnormal targets. Traditional manual visual processing lacks strong characterization capabilities and is prone to omissions and false…

Computers, Materials & Continua
Article

Research on Defect Detection of Wind Turbine Blades Based on Morphology and Improved Otsu Algorithm Using Infrared Images

To address the issues of low accuracy and high false positive rate in traditional Otsu algorithm for defect detection on infrared images of wind turbine blades (WTB), this paper proposes a technique that combines morphological image enhancement with an improved Otsu algorithm. First, mathematical morphology’s differential multi-scale white and black top-hat operations are applied to enhance the image. The algorithm employs entropy as the objective function to guide the iteration process of image enhancement, selecting…

Computers, Materials & Continua
Article

TGAIN: Geospatial Data Recovery Algorithm Based on GAIN-LSTM

Accurate geospatial data are essential for geographic information systems (GIS), environmental monitoring, and urban planning. The deep integration of the open Internet and geographic information technology has led to increasing challenges in the integrity and security of spatial data. In this paper, we consider abnormal spatial data as missing data and focus on abnormal spatial data recovery. Existing geospatial data recovery methods require complete datasets for training, resulting in time-consuming data recovery and lack of…

Computers, Materials & Continua
Article

Improving Generalization for Hyperspectral Image Classification: The Impact of Disjoint Sampling on Deep Models

Disjoint sampling is critical for rigorous and unbiased evaluation of state-of-the-art (SOTA) models e.g., Attention Graph and Vision Transformer. When training, validation, and test sets overlap or share data, it introduces a bias that inflates performance metrics and prevents accurate assessment of a model’s true ability to generalize to new examples. This paper presents an innovative disjoint sampling approach for training SOTA models for the Hyperspectral Image Classification (HSIC). By separating training, validation, and test…

Computers, Materials & Continua
Article

Computation Offloading in Edge Computing for Internet of Vehicles via Game Theory

With the rapid advancement of Internet of Vehicles (IoV) technology, the demands for real-time navigation, advanced driver-assistance systems (ADAS), vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications, and multimedia entertainment systems have made in-vehicle applications increasingly computing-intensive and delay-sensitive. These applications require significant computing resources, which can overwhelm the limited computing capabilities of vehicle terminals despite advancements in computing hardware due to the complexity of tasks, energy consumption, and cost constraints. To address this issue in IoV-based…

Computers, Materials & Continua
Article

Short-Term Wind Power Prediction Based on WVMD and Spatio-Temporal Dual-Stream Network

As the penetration ratio of wind power in active distribution networks continues to increase, the system exhibits some characteristics such as randomness and volatility. Fast and accurate short-term wind power prediction is essential for algorithms like scheduling and optimization control. Based on the spatio-temporal features of Numerical Weather Prediction (NWP) data, it proposes the WVMD_DSN (Whale Optimization Algorithm, Variational Mode Decomposition, Dual Stream Network) model. The model first applies Pearson correlation coefficient (PCC) to choose…

Computers, Materials & Continua
Article

An Efficient Long Short-Term Memory and Gated Recurrent Unit Based Smart Vessel Trajectory Prediction Using Automatic Identification System Data

Maritime transportation, a cornerstone of global trade, faces increasing safety challenges due to growing sea traffic volumes. This study proposes a novel approach to vessel trajectory prediction utilizing Automatic Identification System (AIS) data and advanced deep learning models, including Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Bidirectional LSTM (DBLSTM), Simple Recurrent Neural Network (SimpleRNN), and Kalman Filtering. The research implemented rigorous AIS data preprocessing, encompassing record deduplication, noise elimination, stationary simplification, and removal of…

Computers, Materials & Continua
Article

Integrating Ontology-Based Approaches with Deep Learning Models for Fine-Grained Sentiment Analysis

Although sentiment analysis is pivotal to understanding user preferences, existing models face significant challenges in handling context-dependent sentiments, sarcasm, and nuanced emotions. This study addresses these challenges by integrating ontology-based methods with deep learning models, thereby enhancing sentiment analysis accuracy in complex domains such as film reviews and restaurant feedback. The framework comprises explicit topic recognition, followed by implicit topic identification to mitigate topic interference in subsequent sentiment analysis. In the context of sentiment analysis,…

Computers, Materials & Continua
Article

Demand-Responsive Transportation Vehicle Routing Optimization Based on Two-Stage Method

Demand-responsive transportation (DRT) is a flexible passenger service designed to enhance road efficiency, reduce peak-hour traffic, and boost passenger satisfaction. However, existing optimization methods for initial passenger requests fall short in addressing real-time passenger needs. Consequently, there is a need to develop real-time DRT route optimization methods that integrate both initial and real-time requests. This paper presents a two-stage, multi-objective optimization model for DRT vehicle scheduling. The first stage involves an initial scheduling model aimed…

Computers, Materials & Continua
Article

NCCMF: Non-Collaborative Continuous Monitoring Framework for Container-Based Cloud Runtime Status

The security performance of cloud services is a key factor influencing users’ selection of Cloud Service Providers (CSPs). Continuous monitoring of the security status of cloud services is critical. However, existing research lacks a practical framework for such ongoing monitoring. To address this gap, this paper proposes the first Non-Collaborative Container-Based Cloud Service Operation State Continuous Monitoring Framework (NCCMF), based on relevant standards. NCCMF operates without the CSP’s collaboration by: 1) establishing a scalable supervisory

Computers, Materials & Continua
Article

Research on Maneuver Decision-Making of Multi-Agent Adversarial Game in a Random Interference Environment

The strategy evolution process of game players is highly uncertain due to random emergent situations and other external disturbances. This paper investigates the issue of strategy interaction and behavioral decision-making among game players in simulated confrontation scenarios within a random interference environment. It considers the possible risks that random disturbances may pose to the autonomous decision-making of game players, as well as the impact of participants’ manipulative behaviors on the state changes of the players.…

Computers, Materials & Continua
Article

Adversarial Defense Technology for Small Infrared Targets

With the rapid development of deep learning-based detection algorithms, deep learning is widely used in the field of infrared small target detection. However, well-designed adversarial samples can fool human visual perception, directly causing a serious decline in the detection quality of the recognition model. In this paper, an adversarial defense technology for small infrared targets is proposed to improve model robustness. The adversarial samples with strong migration can not only improve the generalization of defense…

Call for papers
Special Issue
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Computer Modeling in Engineering & Sciences

Recent Advances in Design and Manufacturing...

Guest Editors: Leong Hien Poh; Jie Zhi; Qixun Li; Yifeng Zhong Deadline: 30 September 2025

Special Issue
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Computers, Materials & Continua

Multiscale and Multiphysics Computational...

Guest Editors: Zhiqiang Yang; Zifeng Yuan; Yuhang Jing; Xia Tian Deadline: 31 August 2025

Special Issue
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Computers, Materials & Continua

Innovative Approaches to the Materials...

Guest Editors: Reliance Jain; Sheetal Kumar Dewangan‬; Sandeep Jain; Rameshwar... Deadline: 31 July 2025

Special Issue
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Computers, Materials & Continua

Advancements in Composite Materials through...

Guest Editors: Alessio Cascardi; Salvatore Verre Deadline: 01 July 2025

Special Issue
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Computer Modeling in Engineering & Sciences

Smoothed Particle Hydrodynamics (SPH):...

Guest Editors: Leonardo Di G. Sigalotti; Fidel Cruz Peregrino; Jaime Klapp Deadline: 01 July 2025

Special Issue
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Computers, Materials & Continua

Exploring Recent Trends and Advances in...

Guest Editors: Nurul Mu'azzah Abdul Latiff; Fahad Taha AL-Dhief; Musatafa Abbas... Deadline: 30 June 2025

Special Issue
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Computer Modeling in Engineering & Sciences

Advanced Computational Intelligence Techniques,...

Guest Editors: A. Dounis; I. Kalatzis Deadline: 31 May 2025

Special Issue
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Computers, Materials & Continua

New Trends in Immersive Virtual Environments

Guest Editors: Diego Vergara; Álvaro Antón-Sancho; Pablo Fernández-Arias Deadline: 31 May 2025

Special Issue
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Computers, Materials & Continua

Security and Network Architecture Challenges...

Guest Editors: Muhammad Adil; Ahmed Farouk; Bouziane Brik Deadline: 30 May 2025

Special Issue
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Computers, Materials & Continua

Emerging Synergies: AI Industry Security...

Guest Editors: Thi-Thu-Huong Le; Yustus Eko Oktian; Howon Kim Deadline: 21 May 2025

Special Issue
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Computer Modeling in Engineering & Sciences

Key Technologies and Applications of Blockchain...

Guest Editors: Chin-Ling Chen; Hsing-Chung Chen Deadline: 15 April 2025

Special Issue
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Computers, Materials & Continua

Multi-Modal Deep Learning for Advanced...

Guest Editors: Simon Fong; Sabah Mohammed; ​Tengyue Li Deadline: 01 April 2025

Special Issue
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Structural Durability & Health Monitoring

Sensing Data Based Structural Health Monitoring...

Guest Editors: Hua-Ping Wang; Jose Campos e Matos Deadline: 31 March 2025

Special Issue
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Computers, Materials & Continua

Research on Deep Learning-based Object...

Guest Editors: Guanqiu Qi; Zhiqin Zhu; Zhihao Zhou; Yinong Chen Deadline: 31 March 2025

Special Issue
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Computers, Materials & Continua

Particle Swarm Optimization: Advances and...

Guest Editors: Diego Oliva; Mario A. Navarro Deadline: 31 March 2025

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Computers, Materials & Continua

Advanced Intelligent Technologies for Networking...

Guest Editors: Massimo Ficco; Marek R. Ogiela Deadline: 30 March 2025

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