Published: 2025-11-13

Articles

Web Based Academic Information System for Academic Communication

Dilip P. Chavan

1-8

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Linked-Arrays: A Mathematical Approach

Sarveshkumar G. Nasare, Sunil M. Wanjari

9-12

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Artificial Intelligence Techniques for Dynamic Path-Controllable Deep Unfolding Network to Predict the K-Barriers for Intrusion Detection using Wireless Sensor Networks: Trends and Challenges

Celestine Yaprakli

13-19

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Artificial Intelligence Techniques for IoT-Based Soil Nutrition and Plant Disease Detection System for Smart Agriculture Using Multi-Layer Stacked Residual Coordinate Boosted Sooty Tern Attention Network: Trends and Challenges

Vasudha Kalimuthu

20-25

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Artificial Intelligence Techniques for Enhancing Air Pollution Detection Accuracy and Quality Monitoring Using Pyramidal Convolution Split-Attention Networks and IoT: Trends and Challenges

Liron Omarjee

26-33

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Artificial Intelligence Techniques for Prediction of IoT Traffic Using Gradient Boosting, Auto-Metric Graph Neural Network, and Lyapunov Optimization-Based Predictive Model: Trends and Challenges

Soraya Zuberiwala

34-40

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Artificial Intelligence Techniques for Strategy Design for Energy-Efficient Data Offloading in 6G-Enabled Vehicular Edge Computing Networks Using Double Deep Q-Network: Trends and Challenges

Myeong Mulyadi

41-50

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Artificial Intelligence Techniques for Automatic Cervical Cancer Detection and Segmentation Using Sparsity-Aware Orthogonal Initialization in Deep Neural Network Classifiers: Trends and Challenges

Saffiya Okafor

51-59

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Artificial Intelligence Techniques for Brain MRI Image Classification for Cancer Detection Using Transformer and Group Parallel Axial Attention with Quantum Self-Attention: Trends and Challenges

Celestine Imamverde

60-66

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Artificial Intelligence Techniques for Efficient Resource Management in 6G Communication Networks Using a Hybrid Quantum Duplet-Convolutional Neural Network Model: Trends and Challenges

Chatmanee Attapong

67-74

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Artificial Intelligence Techniques for Similarity-Navigated Graph Neural Networks and Lightweight Cryptography for Preventing Black Hole Attacks in MANET: Trends and Challenges

Eirini Kalimuthu

75-82

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A Systematic Review of Social Media Analytics Pipelines: Verification, Optimization, and Scalable Computing Perspectives

E. L. Thompson, K. Schneider, A. Petrov

83-89

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A Comprehensive Review of Graph-Regularized Robustness for Authentication Neural Systems: Security Models, Optimization Techniques, and Emerging Computing Applications

E. L. Thompson, K. Schneider, A. Petrov

90-98

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A Systematic Review of Formal Verification Models for Safety of Autonomous AI Agents: Methods, Architectures, and Future Research Directions

A. G. Lewis, B. Horváth, R. Costa

99-107

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A Systematic Review of Cryptographic Indexing Schemes for Encrypted Scientific Databases: Methods, Architectures, and Future Research Directions

Emily L. Thompson, Karl Schneider, Alexei Petrov

108-118

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A Comprehensive Review of Number-Theoretic Foundations of Attribute-Based Encryption Schemes: Security Models, Optimization Techniques, and Emerging Computing Applications

A. G. Lewis, B. Horváth, R. Costa

119-128

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A Systematic Review of Graph-Theoretic Approaches to: Lightweight Block Cipher Design: Methods, Architectures, and Future Research Directions

Emily L. Thompson, Karl Schneider, Alexei Petrov

129-140

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A Systematic Review of Mathematical Modelling of Electromagnetic Shielding Effectiveness: Methods, Architectures, and Future Research Directions

Emily L. Thompson, Karl Schneider, Alexei Petrov

141-154

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A Systematic Review of PDE-based models for advanced rendering in computer graphics: Methods, Architectures, and Future Research Directions

Emily L. Thompson, Karl Schneider, Alexei Petrov

155-165

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A Systematic Review of Tensor analysis models for high-dimensional computer vision tasks: Methods, Architectures, and Future Research DirectionsHigh-dimensional computer vision tasks such as hyperspectral imaging, video understanding, 3D reconstruction, a

A. G. Lewis, B. Horváth, R. Costa

166-176

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A Systematic Review of Social Media Analytics Pipelines: Verification, Optimization, and Scalable Computing Perspectives

A. G. Lewis, B. Horváth, R. Costa

177-183

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A Comprehensive Review of Optimization-Driven Design of Attribute-Based Encryption Schemes: Security Models, Optimization Techniques, and Emerging Computing Applications

Emily L. Thompson, Karl Schneider, Alexei Petrov

184-192

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A Review of Spatial epidemic models in urban healthcare ecosystems: Intelligent Modeling, Electronics Integration, and Real-World Applications

A. G. Lewis, B. Horváth, R. Costa

193-203

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A Systematic Review of Differential Equation Models of Neurodegenerative Disease Dynamics: Methods, Architectures, and Future Research Directions

A. G. Lewis, B. Horváth, R. Costa

204-214

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A Systematic Review of Spectral Graph Methods for 5G Core Network Slicing: Methods, Architectures, and Future Research Directions

Emily L. Thompson, Karl Schneider, Alexei Petrov

215-222

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A Systematic Review of Lattice-Induced Key Exchange with Optimized Polynomial Sampling: Methods, Architectures, and Future Research Directions

A. G. Lewis, B. Horváth, R. Costa

223-229

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A Comprehensive Review of Quasi-Deterministic Authentication in High-Load Web Systems: Security Models, Optimization Techniques, and Emerging Computing Applications

A. G. Lewis, B. Horváth, R. Costa

230-239

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Edge AI-Enabled IoT Architecture for Real-Time Data Processing in Cyber-Physical Smart Systems

Aurelio Xiao-Long

240-248

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Experimental Evaluation of Deep Learning Architectures for Large-Scale Data Processing and Analytics

Wariya Petropoulos

249-258

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Unsupervised Learning Framework for Anomaly Detection in High-Dimensional Data Streams Using Clustering and Autoencoders

Jovencio Qureshi-Haq

259-267

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Multimodal Deep Learning Architectures for Integrated Analysis of Text, Image, and Sensor Data in Intelligent Systems

Quillon Maharjan

268-277

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A Survey of Methods and Architectures for Optimized Sparse Spatial Self-Nested Graph Neural Networks for Secure MU-MIMO-OFDM Systems: Channel Estimation, Attack Detection and Mitigation

Liron Petropoulos

278-284

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Recent Advances in Deep Learning-based Area Efficient 1024-Point Pipelined Radix-4 FFT Processor for Biomedical Application: A Systematic Review

Nozomi Hathurusinghe

285-292

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AI-Driven Hardware-Efficient CNN Architecture for MNIST Classification Using Approximate Computing

Sudarshan Wannenmacher

293-299

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A Comprehensive Review of Multi-Attack Detection using Forensics and Coherent Integrated Photonic Neural Networks-based Prevention for Secure IoT-MANETs

Ulloriaq Ekanayake

300-307

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Deep Learning and Optimization Approaches in Deep Hyperbolic Graph Attention Network-Based Collaborative Routing Algorithm for Clustered IoT-MANETs: A Review

Chatmanee Nasution

308-315

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A Survey of Methods and Architectures for Prediction of Routing Scenarios in IoT-based MANETs using ERS, RED, and Global Pooling Dilated CNN

Korinna Sirisena

316-322

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Recent Advances in an Efficient Cascaded Deep Capsule Cell Attention Network Model for Breast Cancer Molecular Subtypes Prediction Using Mammogram Images: A Systematic Review

Rezaul Khadimzada

323-330

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AI-Based Radiomics for Non-Invasive Microsatellite Instability Detection in Colorectal Cancer

Haleema Jeongmin

331-338

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A Comprehensive Review of Transfer Learning Architype for An Enhanced Melanoma Skin Cancer Using Hybrid Texture Features Detection and Classification Scheme in Medical Image Processing

Preben Maharjan

339-347

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Deep Learning and Optimization Approaches in Improving the Thermo-Electro-Mechanical Responses of MEMS Resonant Accelerometers via a Novel Bidirectional Long Short-Term Memory: A Review

Pyarali Zambrano-Ortiz

348-356

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