A new relaxation technique based on fractional representation to solve bilinear models: Application to the long horizon crude oil scheduling problem by Mohammad Nasir Yarahmadi, Seyyed Ali MirHassani, Farnaz Hooshmand

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Sentimentally enhanced conversation recommender system by Fengjin Liu, Qiong Cao, Xianying Huang, Huaiyu Liu

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An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data by Arjun Kumar Bose Arnob, M. F. Mridha, Mejdl Safran, Md Amiruzzaman, Md. Rajibul Islam

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Developing an Intelligent System for Efficient Botnet Detection in IoT Environment by Ramesh Singh Rawat, Manoj Diwakar, Umang Garg, Prakash Srivastava

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Dual graph-embedded fusion network for predicting potential microbe-disease associations with sequence learning by Junlong Wu, Liqi Xiao, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

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Comprehensive Review of Meta-Learning Methods for Cold-Start Issue in Recommendation Systems by Jamallah M. Zawia, Maizatul Akmar Binti Ismail, Mohammad Imran, Buce Trias Hanggara, Diva Kurnianingtyas, Silvi Asna, Quang Tran Minh

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A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

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VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models by Spoorthy Torne, Dasharathraj K. Shetty, Krishnamoorthi Makkithaya, Prasiddh Hegde, Manu Sudhi, Phani Kumar Pullela, T Tamil Eniyan, Ritesh Kamath, Staissy Salu, Pranav Bhat, S. Girisha, P. S. Priya

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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

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IDBGL: A unique image dataset of black gram (Vigna mungo) leaves for disease detection and classificationMendeley Data by Md. Mehedi Hasan Shoib, Shahnewaz Saeem, Afia Benta Aziz Tonima, Mayen Uddin Mojumdar

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Artificially intelligent nursing homes: a scoping review of palliative care interventions by Isabel Ronan, Sabin Tabirca, Sabin Tabirca, David Murphy, Nicola Cornally, Mohamad M. Saab, Patrice Crowley

“…The aim of this scoping review is to synthesize research surrounding AI-based palliative care interventions in nursing homes.MethodsA PRISMA-ScR scoping review was carried out using modified guidelines specifically designed for computer science research. A wide range of keywords are considered in searching six databases, including IEEE, ACM, and SpringerLink.ResultsWe screened 3255 articles for inclusion after duplicate removal. 3175 articles were excluded during title and abstract screening. …”
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Run-Time Value Chain Analysis and Cost Accounting via Microservices in Agile Manufacturing by Salman Javed, Cristina Paniagua, Imran Javed, Jan van Deventer, Jerker Delsing

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CDMA/OTFS Sensing Outperforms Pure OTFS at the Same Communication Throughput by Hugo Hawkins, Chao Xu, Lie-Liang Yang, Lajos Hanzo

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A Review on Person Re-Identification Techniques and Its Analysis by C. Selvan, H. Anwar Basha, K. Meenakshi, Soumyalatha Naveen

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Threats and Mitigation Strategies for Electroencephalography-Based Person Authentication by Zaib Unnisa, Asadullah Tariq, Irfan Ud Din, Danish Shehzad, Mohamed Adel Serhani, Abdelkader N. Belkacem, Nadeem Sarwar

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Traditional Chinese Medicine Prescription Generation Model Based on Search Enhancement by ZHAO Zijuan, REN Xueting, SONG Kai, QIANG Yan, ZHAO Juanjuan, ZHANG Junlong

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The Advances in Neuromorphic Computing and Brain-Inspired Systems (ANCBIS). by DanielRaj K, Ponseka G, Bharath Sanjai Lordwin D J3

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Uncertainty-based quantization method for stable training of binary neural networks by A.V. Trusov, D.N. Putintsev, E.E. Limonova

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