A Novel Technique for Facial Recognition Based on the GSO-CNN Deep Learning Algorithm by Rana H. Al-Abboodi, Ayad A. Al-Ani

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Distributed RL-Based Resource Allocation and Task Offloading for Vehicular Edge of Things Computing by Ghada Afifi, Bassem Mokhtar

“…VEoTC (Vehicular Edge of Things Computing) solutions aim to exploit these embedded sensors and resources to provide computational services to other users. …”
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Computer Vision-Based Monitoring of Bridge Structural Vibration During Incremental Launching Construction by Hong Shi, Min Zhang, Tao Jin, Xiufeng Shi, Jian Zhang, Yixiang Xu, Xinyi Guo, Xiaoye Cai, Weibing Peng

“…This paper proposes a method for bridge structural vibration monitoring based on computer vision. The method utilizes high-definition cameras to capture dynamic images of bridges and incorporates advanced image processing algorithms to automatically identify and track the vibration characteristics of bridge structures, achieving low energy consumption, low cost, and high efficiency in monitoring. …”
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Implementing Blockchain Technology for Secure Data Transactions in Cloud Computing Environments Challenges and Solutions by Dandu Varalakshmi, N Shirisha, K Suresh, Saidhbi Shaik, V Venkatesh, C F Theresa Cenate

“…The main innovation consists of a light and energy-saving blockchain construct that minimizes computing overhead and is sustained by an AI-based anomaly detection algorithm to achieve real-time threat mitigation using built-in smart contracts. …”
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Research on Parallel Computing Method for Neutron Transport on Tetrahedral Unstructured Meshes Based on COME by ZHONG Yangyu, ZHANG Tiancheng, ZHOU Xiafeng

“…Moreover, due to the extensive use of unstructured meshes required for detailed modeling of nuclear reactors, which demands substantial memory and prolongs computation time, the TETRIS was implemented a parallel sweeping scheme using MPI for spatial variables, alongside MPI-based parallel resolution for energy groups, and OpenMP for angular directions to reduce both computational time and memory requirements significantly, the parallel sweeping scheme employs a pipeline sweeping algorithm, while the multi-region parallel sweeping models utilizes a block-Jacobi parallel strategy. …”

Multi-objective quantum hybrid evolutionary algorithms for enhancing quality-of-service in internet of things by Shailendra Pratap Singh, Gyanendra Kumar, Umakant Ahirwar, Shitharth Selvarajan, Firoz Khan

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Voice pathology detection using machine learning algorithms based on different voice databases by Nurul Mu'azzah Abdul Latiff, Fahad Taha Al-Dhief, Nurul Fariesya Suhaila Md Sazihan, Marina Mat Baki, Nik Noordini Nik Abd. Malik, Musatafa Abbas Abbood Albadr, Ali Hashim Abbas

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DECONSTRUCTING NARRATIVE STRUCTURE: A LINGUISTIC FRAMEWORK FOR CT-BASED SHORT STORY WRITING by Fransiska Marta Sari, Mudhar, Riyati, Sri Utami

“…This condition is reinforced by the results of the PISA study which indicates that Indonesian students' writing literacy skills are still below the OECD average, indicating the need for a learning approach that focuses not only on linguistic aspects, but also on developing students' cognitive abilities in solving problems and thinking in a structured manner. Computational Thinking (CT) is presented as a potential solution, to be implemented in the story outlining process by breaking down the complex story ideas into smaller parts (decomposition), identifying patterns in narratives (pattern recognition), focusing on important elements (abstraction), and designing structured writing steps (algorithm). …”
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Forecasting of energy-related carbon dioxide emission using ANN combined with hybrid metaheuristic optimization algorithms by Hossein Moayedi, Azfarizal Mukhtar, Nidhal Ben Khedher, Isam Elbadawi, Mouldi Ben Amara, Quynh TT, Nima Khalilpoor

“…The study found that TLBO and VS outperform other algorithms in CO2 emission computation accuracy. TLBO has a higher training MSE (3.6778) and lower testing MSE (4.4673), suggesting larger squared errors on training data and lower testing MSE, suggesting less overfitting due to better generalization to the testing set.…”
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Detecting Planting Holes Using Improved YOLO-PH Algorithm with UAV Images by Kaiyuan Long, Shibo Li, Jiangping Long, Hui Lin, Yang Yin

“…However, existing target detection algorithms face difficulties in identifying planting holes based on their edge features, particularly in complex environments. …”
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Virtual Display System of Geological Body Based on Key Algorithms of Three-dimensional Modelling by Wei Feng

“…In order to study the virtual display system of geological body, the key algorithm of three-dimensional modelling is used to analyze it, and the virtual display scheme of geological body is realized. …”
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Deep-Learning-Based Cognitive Assistance Embedded Systems for People with Visual Impairment by Huu-Huy Ngo, Hung Linh Le, Feng-Cheng Lin

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EtHgSC: Eigen Trick-Based Hypergraph Stable Clustering Algorithm in VANET by Mays Kareem Jabbar, Hafedh Trabelsi

“…In the first part of the proposed scheme, the cluster generation is handled using an improved hypergraph-based spectral clustering algorithm using the Eigen-trick method. The “Eigen-trick” method is used to partition both vertices and hyperedges, which provides an approach for reducing the computational complexity of the clustering. …”
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Facial Landmark-Driven Keypoint Feature Extraction for Robust Facial Expression Recognition by Jaehyun So, Youngjoon Han

“…In particular, the use of face alignment algorithms as a preprocessing step in image-based FER is important for accurately normalizing face images in terms of scale, rotation, and translation to improve FER accuracy. …”
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A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors by Zihao Li, Siguang An, Guoping Zou, Jianqiang Han

“…In order to enhance the stability and accuracy of electromagnetic numerical calculations, a node generation and adaptive refinement algorithm for the meshless RPIM is proposed. The proposed approach includes an initial node-generation method designed to optimize the balance between computational accuracy and efficiency, as well as a dynamic error threshold and hybrid node refinement method to precisely identify and adaptively refine areas requiring additional nodes, ensuring high precision in critical regions. …”
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A Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism by Zhe Quan, Jun Sun

“…With the rapid development of AI algorithms and computational power, object recognition based on deep learning frameworks has become a major research direction in computer vision. …”
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3L-YOLO: A Lightweight Low-Light Object Detection Algorithm by Zhenqi Han, Zhen Yue, Lizhuang Liu

“…In comparison to the LOL-YOLO low-light object detection algorithm, 3L-YOLO requires 16.9 GFLOPs, representing a reduction of 4 GFLOPs.…”
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Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm by Huazhe Zhang, Nian Liu, Juan Xia, Lejun Chen, Shengde Chen

“…However, the scalability of the method for larger agricultural operations may face challenges due to computational demands when processing large-scale datasets and potential performance variability under different environmental conditions. …”
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YOLOv8-EMSC: A lightweight fire recognition algorithm for large spaces by Deng Li, Tan Yang, Zhou Jin, Wu Si-qi, Liu Quan-yi

“…Some detection terminals in large structures face challenges deploying these models due to constrained computational resources. …”
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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…Recognizing these facial expressions accurately is essential for a variety of applications — such as tools that use our faces to interact with computers (human-computer interaction, or HCI), security systems and emotionally intelligent artificial intelligence technologies. …”
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