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Anomaly Detection in IIoT Transactions using Machine Learning: A Lightweight Blockchain-based Approach

Engineering, technology & applied science research, 2024-06, Vol.14 (3)

2024

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A model for skin cancer using combination of ensemble learning and deep learning

PloS one, 2024-05, Vol.19 (5), p.e0301275-e0301275

2024

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Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications

IEEE transactions on wireless communications, 2024-05, p.1-1

2024

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A Review of State of the Art Deep Learning Models for Ontology Construction

IEEE access, 2024-05, p.1-1

2024

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Deep Reinforcement Learning for Autonomous Driving based on Safety Experience Replay

IEEE transactions on cognitive and developmental systems, 2024-05, p.1-15

2024

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IEEE_Xplore

Inferring temperature fields from concentration fields in channel flows using conditional generative adversarial networks

Journal of applied physics, 2024-06, Vol.135 (21)

2024

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FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients

IEEE transactions on circuits and systems for video technology, 2024-05, p.1-1

2024

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IEEE_Xplore

"Where Does the Devil Lie?": Multimodal Multitask Collaborative Revision Network for Trusted Road Segmentation

IEEE transactions on multimedia, 2024-05, p.1-12

2024

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IEEE_Xplore

Autonomous Robots Traverse Multi-Terrain Environments via Hierarchical Reinforcement Learning with Skill Discovery

Journal of physics. Conference series, 2024-05, Vol.2762 (1), p.012003

2024

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Deep residual network for interpolation and inverse problems

Journal of physics. Conference series, 2024-05, Vol.2766 (1), p.012093

2024

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Unsupervised Deep Lagrange Dual with Equation Embedding for AC Optimal Power Flow

IEEE transactions on power systems, 2024-05, p.1-13

2024

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A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine

BMC infectious diseases, 2024-06, Vol.24 (1), p.551-551

2024

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A CONV-EGBDNN Model for the Classification and Detection of Mango Diseases on Diseased Mango Images utilizing Transfer Learning

Engineering, technology & applied science research, 2024-06, Vol.14 (3)

2024

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Advancing Eye Disease Assessment through Deep Learning: A Comparative Study with Pre-Trained Models

Engineering, technology & applied science research, 2024-06, Vol.14 (3)

Zamil S. Alzamil

2024

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Stable tensor neural networks for efficient deep learning

Frontiers in big data, 2024-05, Vol.7

2024

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An efficient computational framework for gastrointestinal disorder prediction using attention-based transfer learning

PeerJ. Computer science, 2024-05, Vol.10, p.e2059

2024

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Advanced CKD detection through optimized metaheuristic modeling in healthcare informatics

Scientific reports, 2024-06, Vol.14 (1), p.12601-12601

2024

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A Hybrid convolution neural network for the classification of tree species using hyperspectral imagery

PloS one, 2024-05, Vol.19 (5), p.e0304469-e0304469

2024

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Unsupervised Projected Sample Selector for Active Learning

IEEE transactions on big data, 2024-05, p.1-14

2024

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IEEE_Xplore

Decentralized Gossip-Assisted Deep Learning Model Training for Resource-Constraint Edge Devices

IEEE transactions on computational social systems, 2024-05, p.1-10

2024

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IEEE_Xplore

Rapid identification of medicinal plants via visual feature-based deep learning

Plant methods, 2024-05, Vol.20 (1), p.81-81

2024

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A Transferability-Enhanced and Structural Information Mining Network for Cross-Domain Fault Diagnosis

IEEE sensors journal, 2024-05, p.1-1

2024

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IEEE_Xplore

A Hybrid Deep Learning-Based Framework for Chip Packaging Fault Diagnostics in X-Ray Images

IEEE transactions on industrial informatics, 2024-05, p.1-11

2024

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IEEE_Xplore

Applying large language models for automated essay scoring for non-native Japanese

Humanities & social sciences communications, 2024-12, Vol.11 (1), p.723

2024

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Anomaly Detection in IIoT Transactions using Machine Learning: A Lightweight Blockchain-based Approach

A model for skin cancer using combination of ensemble learning and deep learning

Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications

A Review of State of the Art Deep Learning Models for Ontology Construction

Deep Reinforcement Learning for Autonomous Driving based on Safety Experience Replay

Inferring temperature fields from concentration fields in channel flows using conditional generative adversarial networks

FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients

"Where Does the Devil Lie?": Multimodal Multitask Collaborative Revision Network for Trusted Road Segmentation

Autonomous Robots Traverse Multi-Terrain Environments via Hierarchical Reinforcement Learning with Skill Discovery

Deep residual network for interpolation and inverse problems

Unsupervised Deep Lagrange Dual with Equation Embedding for AC Optimal Power Flow

A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine

A CONV-EGBDNN Model for the Classification and Detection of Mango Diseases on Diseased Mango Images utilizing Transfer Learning

Advancing Eye Disease Assessment through Deep Learning: A Comparative Study with Pre-Trained Models

Stable tensor neural networks for efficient deep learning

An efficient computational framework for gastrointestinal disorder prediction using attention-based transfer learning

Advanced CKD detection through optimized metaheuristic modeling in healthcare informatics

Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical studyResearch in context

A Hybrid convolution neural network for the classification of tree species using hyperspectral imagery

Unsupervised Projected Sample Selector for Active Learning

Decentralized Gossip-Assisted Deep Learning Model Training for Resource-Constraint Edge Devices

Rapid identification of medicinal plants via visual feature-based deep learning

A Transferability-Enhanced and Structural Information Mining Network for Cross-Domain Fault Diagnosis

A Hybrid Deep Learning-Based Framework for Chip Packaging Fault Diagnostics in X-Ray Images

Applying large language models for automated essay scoring for non-native Japanese

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