A Review of Machine Learning Approaches for Non-Invasive Cognitive Impairment Detection by Muath Alsuhaibani, Ali Pourramezan Fard, Jian Sun, Farida Far Poor, Peter S. Pressman, Mohammad H. Mahoor

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Classification of Red Foxes: Logistic Regression and SVM with VGG-16, VGG-19, and Inception V3 by Brian Sabayu, Imam Yuadi

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Optimizing Traffic Speed Prediction Using a Multi-Objective Genetic Algorithm-Enhanced RNN for Intelligent Transportation Systems by C. Swetha Priya, F. Sagayaraj Francis

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Okra disease dataset for classification and segmentation: Dataset collection, analysis and applicationsMendeley DataMendeley Data by K. Sowmiya, M. Thenmozhi

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Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models by Dandan Tang, Yuanyuan Jin, XuanJie Hu, Dandan Lin, Abiden Kapar, YanJie wang, Fang Yang, Huling Li

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Deep learning models for enhanced in-field maize leaf disease diagnosis by Joyce Nakatumba-Nabende, Sudi Murindanyi

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Combining the Pre-Trained Model Roberta with a Two-Layer Bidirectional Long- and Short-Term Memory Network and a Multi-Head Attention Mechanism for a Rice Phenomics Entity Classifi... by Dayu Xu, Xinyu Zhu, Xuyao Zhang, Fang Xia

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Limitations of panoramic radiographs in predicting mandibular wisdom tooth extraction and the potential of deep learning models to overcome them by Atsushi Danjo, Chiaki Kuwada, Reona Aijima, Asana Kamohara, Motoki Fukuda, Yoshiko Ariji, Eiichiro Ariji, Yoshio Yamashita

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A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

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A Complete EDA and DL Pipeline for Softwarized 5G Network Intrusion Detection by Abdallah Moubayed

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Leveraging Super-Resolution Technology in Drone Imagery for Advanced Plant Disease Diagnosis and Prognosis by Vignesh A. Palan, Shivam Thakur, N. Sumith

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A Comprehensive Study of Deep Learning Approaches for Predicting Reciprocal Traffic Dynamics and Climate Variability by Abrar Ali, Wadhah R. Baiee

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A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions by Guanjun Lin, Hang Zhao, Yufeng Chi

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A new CNN deep learning model for computer-intelligent color matching by He Zhibin, Tan Yanmei, Li Sa

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Enhancing Anomaly Detection Performance: Deep Learning Models Evaluation by Yunusa Mohammed Jeddah, Aisha Hassan Abdalla Hashim, Othman Omran Khalifa, Khmaies Ouhada

Subjects: “…Deep Learning Models…”
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Periodformer: An Energy Consumption Prediction Model Based on Decomposition of Time Series by CHEN Bowen, DENG Jian, ZHU Qianliu

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Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review by Adane Adugna, Desalegn Abebaw, Abtie Abebaw, Mohammed Jemal

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Damage Detection and Segmentation in Disaster Environments Using Combined YOLO and Deeplab by So-Hyeon Jo, Joo Woo, Chang Ho Kang, Sun Young Kim

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PK-Judge: Enhancing IP Protection of Neural Network Models Using an Asymmetric Approach by Wafaa Kanakri, Brian King

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Revolutionizing Pneumonia Diagnosis: AI-Driven Deep Learning Framework for Automated Detection From Chest X-Rays by N. Shilpa, W. Ayeesha Banu, Prakash B. Metre

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