Clinical applications of photon-counting CT in neuroimaging by LÜ Haiying, LU Yong, HE Naying

“…Photon-counting computed tomography (PCCT) is a next-generation CT imaging technology that markedly improves image quality while reducing radiation dose and image noise through single-photon detection and energy discrimination by photon detectors. …”
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Blockchain based solid waste classification with AI powered tracking and IoT integration by Aliaa M. Alabdali

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Advances in Video Emotion Recognition: Challenges and Trends by Yun Yi, Yunkang Zhou, Tinghua Wang, Jin Zhou

“…The paper further elaborates on datasets and evaluation metrics commonly utilized in VER. Then, the paper reviews VER algorithms according to their categories, and compares and analyzes the experimental results of classic methods on four datasets. …”
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Predicting Quality of Multimedia Experience Using Electrocardiogram and Respiration Signals by Sowmya Vijayakumar, Ronan Flynn, Peter Corcoran, Niall Murray

“…Specifically, we present an implicit evaluation of user QoE in terms of perceived quality, sense of presence, and user content preference using a publicly accessible database. …”
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Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

“…This paper addresses the joint optimization of operational cost and service quality for delay-sensitive applications scheduled across distributed green data centers (GDDCs). …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…The digital twin (DT) concept has recently gained widespread application for mapping the state of physical entities, enabling real-time analysis, prediction, and optimization, thereby enhancing the management and control of physical systems. …”
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The Realization of Intelligent Algorithm of Knowledge Point Association Analysis in English Diagnostic Practice System by Yanyan Zhang

“…Then, starting from the existing paper composition mode of the system, the knowledge point association rule table is introduced, and the knowledge point association relationship mining model is constructed using the association rule algorithm to explore the potential influence relationship between different knowledge points that affect the improvement of learning quality. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

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The use of machine translation algorithm based on residual and LSTM neural network in translation teaching. by Beibei Ren

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An Enhanced Genetic Algorithm for Optimized Educational Assessment Test Generation Through Population Variation by Doru-Anastasiu Popescu

“…The result obtained by a genetic algorithm can be evaluated according to the quality of this solution. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…This initial step is crucial, as high-quality feature extraction determines the overall performance of the entire system. …”
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An Improved Whale Optimization Algorithm via Angle Penalized Distance for Automatic Train Operation by Longda Wang, Yanjie Ju, Long Guo, Gang Liu, Chunlin Li, Yan Chen

“…Specifically, aiming at the high-quality target speed curve of urban rail trains, a target speed curve multi-objective optimization model for ATO is established with energy saving, punctuality, accurate stopping, and comfort as the indexes; and the comprehensive evaluation strategy utilizing angle-penalized distance as the evaluation index is proposed to enhance the assessment’s rationality and applicability. …”
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Modified Sparrow Search Algorithm by Incorporating Multi-Strategy for Solving Mathematical Optimization Problems by Yunpeng Ma, Wanting Meng, Xiaolu Wang, Peng Gu, Xinxin Zhang

“…However, similar to other swarm intelligence algorithms, the SSA has the problem of being prone to falling into local optimal solutions during the optimization process, which limits its application effectiveness. …”
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An Evaluation Method for Distribution Network Operation Based on Multi-source Data Deep Fusion by Junfeng QIAO, Aihua ZHOU, Lin PENG, Yiqing WANG, Xiaofeng SHEN, Sen PAN, Pei YANG, Chenhong HUANG

“…Finally, a distribution network operation evaluation system is developed to support the unified access of multi-source heterogeneous data from various business systems of the distribution network, achieving the visualization and intelligent application of distribution network evaluation functions. …”
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Deep reinforcement learning applications and prospects in industrial scenarios by JING TAN, Ligang YANG, Xiaorui LI, Zhaolin YUAN, Yunduan CUI, Chao YAO, Zongjie WANG, Xiaojuan BAN

“…However, challenges remain, including the need for high-quality training data, computational efficiency in high-dimensional spaces, and robust algorithms capable of handling uncertainties and safety-critical conditions. …”
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NeIL: Intelligent Replica Selection for Distributed Applications by Faraz Ahmed, Lianjie Cao, Ayush Goel, Puneet Sharma

“…Distributed applications such as cloud gaming, streaming, etc., are increasingly using edge-to-cloud infrastructure for high availability and performance. …”
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Leveraging machine learning models in evaluating ADMET properties for drug discovery and development by Magesh Venkataraman, Gopi Chand Rao, Jeevan Karthik Madavareddi, Srinivas Rao Maddi

“…Experimental approach: This article systematically examines the current landscape of ML applications in ADMET prediction, including the types of algorithms employed, common molecular descriptors and datasets used, and model development workflows. …”
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A supply chain analytics approach for optimizing milk collection routing in multi-depot networks by Mattia Neroni, Marta Rinaldi

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Contrast Study of Low Tube Current Combined with Deep Learning Algorithms in Paranasal Sinus CT Imaging by Yufei SUN, Zhaohui ZHONG, Xiangming LI, Wanbo ZHOU, Chensi XU, Miao DENG, Lixin ZHANG

“…Objective: To explore the application effect of a low tube current combined with a deep learning algorithm in paranasal sinus computed tomography (CT) imaging and to evaluate its advantages in terms of image quality and radiation dose. …”
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The application of machine learning in clinical microbiology and infectious diseases by Cheng Xu, Ling-Yun Zhao, Cun-Si Ye, Ke-Chen Xu, Ke-Chen Xu, Ke-Yang Xu

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