Enhanced futures price-spread forecasting based on an attention-driven optimized LSTM network: integrating an improved grey wolf optimizer algorithm for enhanced accuracy by Yongli Tang, Zhenlun Gao, Zhongqi Cai, Jinxia Yu, Panke Qin

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Identifying Influential Nodes in Complex Networks via Transformer with Multi-Scale Feature Fusion by Tingshuai Jiang, Yirun Ruan, Tianyuan Yu, Liang Bai, Yifei Yuan

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Self-Optimization of Pilot Power in Enterprise Femtocells Using Multi objective Heuristic by Lina S. Mohjazi, Mahmoud A. Al-Qutayri, Hassan R. Barada, Kin F. Poon, Raed M. Shubair

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Introducing a Novel Fast Neighbourhood Component Analysis–Deep Neural Network Model for Enhanced Driver Drowsiness Detection by Sama Hussein Al-Gburi, Kanar Alaa Al-Sammak, Ion Marghescu, Claudia Cristina Oprea, Ana-Maria Claudia Drăgulinescu, George Suciu, Khattab M. Ali Alheeti, Nayef A. M. Alduais, Nawar Alaa Hussein Al-Sammak

“…Traditional deep neural network (DNN)-based solutions have shown promising results in detecting drowsiness; however, they are often less suitable for real-time applications due to their high computational complexity, risk of overfitting, and reliance on large datasets. …”
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A Human Tracking System for the Rocker-Bogie Mobile Robot Utilizing the YOLOv8 Network by Huy Anh Bui, Thi Thoa Mac, Xuan Thuan Nguyen

“…To be more detailed, the modified YOLOv8 network is designed to detect humans and corresponds to the operation of the robot in real time. The computer then computes the associated speeds of the robot according to the detection targets. …”
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A Guidance Framework for Resolving Problems of Credit Card Churn Detection Systems by Fehim Altınışık, Ahmet Sayar

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Automatic detection of teacher behavior in classroom videos using AlphaPose and Faster R-CNN algorithms by Jing Huang, Harwati Hashim, Helmi Norman, Mohammad Hafiz Zaini, Xiaojun Zhang

“…This study proposes an automated classification framework for evaluating teacher behavior in classroom settings by integrating AlphaPose and Faster region-based convolutional neural networks (R-CNN) algorithms. …”
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Design of interactive systems: Information visualization methods of self-service technology in fast food restaurants by Yi-Shan Lee, Szu-Chi Chen, Yunqian Zhan, Meng-Cong Zheng

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A Perspective View of Cotton Leaf Image Classification Using Machine Learning Algorithms Using WEKA by Bhagya M. Patil, Vishwanath Burkpalli

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Optimal Shear Wall Placement for Seismic Performance: A Comparative Study of Building Codes by Kamal Hosen

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Digital Augmented Reality Audio Headset by Jussi Rämö, Vesa Välimäki

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Detecting Fake Reviews in E-Commerce: A Case Study on Shopee Using Support Vector Machine and Random Forest by Khoirotulmuadiba Purifyregalia, Khothibul Umam, Nur Cahyo Hendro Wibowo, Maya Rini Handayani

“…Review labeling was performed automatically through the Latent Dirichlet Allocation (LDA) method, categorizing reviews into Original (OR) and Computer-Generated (CG). Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. …”
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iDILI-MT: identifying drug-induced liver injury compounds with a multi-head Transformer by Wanrong Zheng, Fobao Lai

“…We present iDILI-MT (identifying drug-induced liver injury compounds with a multi-head Transformer), a self-contained computational framework that integrates a feed-forward network for sequential feature extraction, a multi-head Transformer encoder for contextual representation learning, and a squeeze-and-excitation attention module for channel-wise feature recalibration. …”
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Web application firewall based on machine learning models by Muhammed Ersin Durmuşkaya, Selim Bayraklı

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Sentiment Analysis on BRImo Application Reviews Using IndoBERT by Asyer Aprinando Pratama Simarmata, Theopilus Bayu Sasongko

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RARE: right algorithm for the right errand; a multi-model machine learning-based approach for tourism routes and spots recommendation by Ling Luo

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An ensemble approach for research article classification: a case study in artificial intelligence by Min Lu, Lie Tang, Xianke Zhou

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Implementation of a Multimode Optical Source in the VPIphotonics Software by Blaise Tshibangu-Mbuebue, Rodrigo Cuevas-Terrones, Min Won Lee, Alejandro García-Juárez, Ignacio Enrique Zaldívar-Huerta

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Innovation in tune: An empirical investigation of user acceptance of artificial intelligence-generated music by Mikael Bagratuni, Patrick Müller, Patrick Planing

“…This study builds on the traditional technology acceptance models (TAM, UTAUT2) by proposing a framework that integrates human-related factors, thereby demonstrating the necessity of adapting existing models to better evaluate AI systems in creative domains. These insights contribute to advancing the understanding of human-computer interaction, particularly within the evolving landscape of AI-driven creative processes.…”
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Classifying reservoir facies using attention-based residual neural networks by An Hai Nguyen, Khang Nguyen, Nga Mai

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