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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,...

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,...

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...

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...

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...

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...

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...

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...

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,...

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....

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...

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...

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....

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...

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...

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...

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,...

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,...

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...

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...

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...

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...

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...

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...

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,...

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,...

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...

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...

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...

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...

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...

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...

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,...

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....

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...

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...

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....

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...

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...

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...

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,...

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,...

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...

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...

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...

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...

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...

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...

Sound Transmission Loss of Helmholtz Resonators with Elastic Bottom Plate

Helmholtz resonators are widely used to control low frequency noise propagating in pipes. In this paper, the elastic bottom plate of Helmholtz resonator is simplified as a single degree of freedom (SDOF) vibration system with acoustic excitation, and a one-dimensional lumped-parameter analytical model was developed to accurately characterize the structure-acoustic coupling and sound transmission loss (STL) of a Helmholtz resonator with an elastic bottom plate. The effect of dynamical parameters of elastic bottom plate on

Energy Engineering
Article

Slag Characteristics of Biomass Pellet Fuels with Different Additives to Tobacco-Stalk for Tobacco Curing Heating

Since pure tobacco stalk (TS) biomass pellet fuels tend to slag, five anti-slagging agents were added to the crushed TS to obtain a pellet fuel that could be used in biomass burners to provide heat for tobacco curing. The obtained results revealed that the main component of TS pellet fuel was K₂Si₂O₅. During fuel combustion process, additives generated higher melting point silicate compounds by Al–K, Ca–K, and Ca–K elemental structures to replace single K elemental structure

Energy Engineering
Article

Multi-Lever Early Warning for Wind and Photovoltaic Power Ramp Events Based on Neural Network and Fuzzy Logic

With the increasing penetration of renewable energy in power system, renewable energy power ramp events (REPREs), dominated by wind power and photovoltaic power, pose significant threats to the secure and stable operation of power systems. This paper presents an early warning method for REPREs based on long short-term memory (LSTM) network and fuzzy logic. First, the warning levels of REPREs are defined by assessing the control costs of various power control measures. Then, the next

Energy Engineering
Article

Probabilistic Calculation of Tidal Currents for Wind Powered Systems Using PSO Improved LHS

This paper introduces the Particle Swarm Optimization (PSO) algorithm to enhance the Latin Hypercube Sampling (LHS) process. The key objective is to mitigate the issues of lengthy computation times and low computational accuracy typically encountered when applying Monte Carlo Simulation (MCS) to LHS for probabilistic trend calculations. The PSO method optimizes sample distribution, enhances global search capabilities, and significantly boosts computational efficiency. To validate its effectiveness, the proposed method was applied to IEEE34 and IEEE-118

Energy Engineering
Article

Seasonal Short-Term Load Forecasting for Power Systems Based on Modal Decomposition and Feature-Fusion Multi-Algorithm Hybrid Neural Network Model

To enhance the refinement of load decomposition in power systems and fully leverage seasonal change information to further improve prediction performance, this paper proposes a seasonal short-term load combination prediction model based on modal decomposition and a feature-fusion multi-algorithm hybrid neural network model. Specifically, the characteristics of load components are analyzed for different seasons, and the corresponding models are established. First, the improved complete ensemble empirical modal decomposition with adaptive noise (ICEEMDAN) method is employed…

Energy Engineering
Article

Improved Strategy of Grid-Forming Virtual Synchronous Generator Based on Transient Damping

The grid-forming virtual synchronous generator (GFVSG) not only employs a first-order low-pass filter for virtual inertia control but also introduces grid-connected active power (GCAP) dynamic oscillation issues, akin to those observed in traditional synchronous generators. In response to this, an improved strategy for lead-lag filter based GFVSG (LLF-GFVSG) is presented in this article. Firstly, the grid-connected circuit structure and control principle of typical GFVSG are described, and a closed-loop small-signal model for GCAP in GFVSG

Energy Engineering
Article

A Novel Bi-Level VSC-DC Transmission Expansion Planning Method of VSC-DC for Power System Flexibility and Stability Enhancement

Investigating flexibility and stability boosting transmission expansion planning (TEP) methods can increase the renewable energy (RE) consumption of the power systems. In this study, we propose a bi-level TEP method for voltage-source-converter-based direct current (VSC-DC), focusing on flexibility and stability enhancement. First, we established the TEP framework of VSC-DC, by introducing the evaluation indices to quantify the power system flexibility and stability. Subsequently, we propose a bi-level VSC-DC TEP model: the upper-level model acquires the…

Energy Engineering
Article

Assessment of Operational Performance in a Power Generation/Selling Integrated Company Using a Dynamic Proportional Adjustment Coefficient

Currently, the operational performance assessment system in the power market primarily focuses on power generation and electricity retail companies, lacking a system tailored to the operational characteristics of power generation/selling integrated companies. Therefore, this article proposes an assessment index system for assessing the operational performance of a power generation/selling integrated company, encompassing three dimensions: basic capacity, development potential, and external environment. A dynamic proportional adjustment coefficient is designed, along with a subjective and objective weighting

Energy Engineering
Article

SOH Estimation of Lithium Batteries Based on ICA and WOA-RBF Algorithm

Accurately estimating the State of Health (SOH) of batteries is of great significance for the stable operation and safety of lithium batteries. This article proposes a method based on the combination of Capacity Incremental Curve Analysis (ICA) and Whale Optimization Algorithm-Radial Basis Function (WOA-RBF) neural network algorithm to address the issues of low accuracy and slow convergence speed in estimating State of Health of batteries. Firstly, preprocess the battery data to obtain the real battery…

Energy Engineering
Article

Three-Level Optimal Scheduling and Power Allocation Strategy for Power System Containing Wind-Storage Combined Unit

To mitigate the impact of wind power volatility on power system scheduling, this paper adopts the wind-storage combined unit to improve the dispatchability of wind energy. And a three-level optimal scheduling and power allocation strategy is proposed for the system containing the wind-storage combined unit. The strategy takes smoothing power output as the main objectives. The first level is the wind-storage joint scheduling, and the second and third levels carry out the unit combination optimization…

Energy Engineering
Article

Hydraulic Fracture Parameter Inversion Method for Shale Gas Wells Based on Transient Pressure-Drop Analysis during Hydraulic Fracturing Shut-in Period

Horizontal well drilling and multi-stage hydraulic fracturing are key technologies for the development of shale gas reservoirs. Instantaneous acquisition of hydraulic fracture parameters is crucial for evaluating fracturing effectiveness, optimizing processes, and predicting gas productivity. This paper establishes a transient flow model for shale gas wells based on the boundary element method, achieving the characterization of stimulated reservoir volume for a single stage. By integrating pressure monitoring data following the pumping shut-in period of hydraulic…

Energy Engineering
Article

Optimized Operation of Park Integrated Energy System with Source-Load Flexible Response Based on Comprehensive Evaluation Index

To better reduce the carbon emissions of a park-integrated energy system (PIES), optimize the comprehensive operating cost, and smooth the load curve, a source-load flexible response model based on the comprehensive evaluation index is proposed. Firstly, a source-load flexible response model is proposed under the stepped carbon trading mechanism; the organic Rankine cycle is introduced into the source-side to construct a flexible response model with traditional combined heat and power (CHP) unit and electric boiler…

Energy Engineering
Article

A Two-Layer Optimal Scheduling Strategy for Rural Microgrids Accounting for Flexible Loads

In the context of China’s “double carbon” goals and rural revitalization strategy, the energy transition promotes the large-scale integration of distributed renewable energy into rural power grids. Considering the operational characteristics of rural microgrids and their impact on users, this paper establishes a two-layer scheduling model incorporating flexible loads. The upper-layer aims to minimize the comprehensive operating cost of the rural microgrid, while the lower-layer aims to minimize the total electricity cost for rural users.

Energy Engineering
Article

Itinerary-Dependent Degradation Analysis of a Lithium-Ion Battery Cell for E-Bike Applications in Rwanda

There are obstacles to the widespread use of small electric vehicles (EVs) in Rwanda, including concerns regarding the battery range and lifespan. Lithium-ion batteries (LIBs) play an important role in EVs. However, their performance declines over time because of several factors. To optimize battery management systems and extend the range of EVs in Rwanda, it is essential to understand the influence of the driving profiles on lithium-ion battery degradation. This study analyzed the degradation patterns…

Energy Engineering
Article

Distributed Robust Scheduling Optimization of Wind-Thermal-Storage System Based on Hybrid Carbon Trading and Wasserstein Fuzzy Set

A robust scheduling optimization method for wind–fire storage system distribution based on the mixed carbon trading mechanism is proposed to improve the rationality of carbon emission quota allocation while reducing the instability of large-scale wind power access systems. A hybrid carbon trading mechanism that combines short-term and long-term carbon trading is constructed, and a fuzzy set based on Wasserstein measurement is proposed to address the uncertainty of wind power access. Moreover, a robust scheduling optimization

Energy Engineering
Article

Optimal Configuration Method for Multi-Type Reactive Power Compensation Devices in Regional Power Grid with High Proportion of Wind Power

As the large-scale development of wind farms (WFs) progresses, the connection of WFs to the regional power grid is evolving from the conventional receiving power grid to the sending power grid with a high proportion of wind power (WP). Due to the randomness of WP output, higher requirements are put forward for the voltage stability of each node of the regional power grid, and various reactive power compensation devices (RPCDs) need to be rationally configured…

Call for papers

Special Issue

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

Computers, Materials & Continua

Multiscale and Multiphysics Computational...

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

Special Issue

Computers, Materials & Continua

Innovative Approaches to the Materials...

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

Special Issue

Computers, Materials & Continua

Advancements in Composite Materials through...

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

Special Issue

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

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

Computer Modeling in Engineering & Sciences

Advanced Computational Intelligence Techniques,...

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

Special Issue

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

Computers, Materials & Continua

Security and Network Architecture Challenges...

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

Special Issue

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

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

Computers, Materials & Continua

Multi-Modal Deep Learning for Advanced...

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

Special Issue

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

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

Computers, Materials & Continua

Particle Swarm Optimization: Advances and...

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

Special Issue

Computers, Materials & Continua

Advanced Intelligent Technologies for Networking...

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

Computer Modeling in Engineering & Sciences

Digital Engineering and Digital Twin

Psycho-Oncologie

Revue Internationale de Géomatique

Frontiers in Heat and Mass Transfer

Journal of Polymer Materials

Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería

Computers, Materials & Continua

Fluid Dynamics & Materials Processing

Molecular & Cellular Biomechanics

Structural Durability & Health Monitoring

Intelligent Automation & Soft Computing

Computer Systems Science and Engineering

Sound & Vibration

BIOCELL

Phyton-International Journal of Experimental Botany

Energy Engineering

International Journal of Mental Health Promotion

Congenital Heart Disease

Journal of Renewable Materials

Oncology Research

Journal of Quantum Computing

Journal of New Media

Journal on Internet of Things

Journal of Information Hiding and Privacy Protection

Journal of Cyber Security

Journal on Artificial Intelligence

Journal on Big Data

Journal of Intelligent Medicine and Healthcare

Journal of Blockchain and Intelligent Computing

The International Conference on Computational & Experimental Engineering and Sciences

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