Personalized learning path optimization based on enhanced deep neural network: higher education teaching model integrating learner behavior and cognitive style by Xiaomei Ding, Huaibao Ding, Fei Zhou, Lihong Zhao

“…To address the above problems, this paper designs an effective model for optimizing personalized learning paths using Enhanced Deep Neural Networks (EDNN). …”
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Age of Information Minimization in Multicarrier-Based Wireless Powered Sensor Networks by Juan Sun, Jingjie Xia, Shubin Zhang, Xinjie Yu

“…We formulate this optimization problem as a multi-stage stochastic optimization program. …”
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On differential privacy for federated learning in wireless systems with multiple base stations by Nima Tavangaran, Mingzhe Chen, Zhaohui Yang, José Mairton B. Da Silva Jr., H. Vincent Poor

“…We show the convergence behavior of the learning process by deriving an upper bound on its optimality gap. Furthermore, we define an optimization problem to reduce this upper bound and the total privacy leakage. …”
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NUDIF: A Non-Uniform Deployment Framework for Distributed Inference in Heterogeneous Edge Clusters by Peng Li, Chen Qing, Hao Liu

“…Experimental evaluations demonstrate that NUDIF enhances system throughput by an average of 9.95% compared to traditional single-pipeline optimization methods under various scales of cluster device configurations.…”
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Dynamic sink movement strategy for expedited query processing in Internet of things-based sensor networks by Dongliang Xu

“…DSQPS first calculates the optimum number of rendezvous points on the network by solving a minimal set covering problem, followed by Aquila Optimizer (AO), which optimizes the number of mobile sinks. …”
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Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Siqi Li, Weidong Li, Wanbo Zheng, Yunni Xia, Kunyin Guo, Qinglan Peng, Xu Li, Jiaxin Ren

“…By introducing weighted coefficients for latency and energy consumption, the proposed method ensures that task completion latency does not exceed a predefined threshold while minimizing the overall system cost. The problem is formulated as a multi-objective optimization problem, which is solved using a two-layer alternating optimization framework. …”
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Multi-Objective Optimization of Pressure-Reducing Valves Operation in Extreme Water Consumption Scenarios (Case Study: Najaf Abad Urban Water Distribution Network) by Seyed Pedram Jazayeri Farsani, Ramtin Moeini

“…The multi-objective optimization problem was solved using the NSGA-II algorithm under two extreme water consumption scenarios-maximum and minimum water withdrawal during warm and cold seasons. …”
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Optimizing winner determination for sustainability and timeliness in fresh agricultural product logistics service procurement auctions: insights from a fourth-party logistics persp... by Yi Zhou, Mingqiang Yin, Qiang Liu, Xiaohu Qian, Delong Jin, Xianming Lang

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Forecasting and optimization of the kilovoltage X-ray therapy office within the framework of clinical guidelines of the Association of oncologists of Russia (AOR) of the Ministry o... by L. N. Izurov, J. A. Zuenkova

“…An increase in the average number of radiotherapy sessions leads to a doubling of the average bed-day of the patient's stay in the day-hospital. …”
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Federated learning and GWO-enabled consumer-centric healthcare internet of things for pancreatic tumour by Nuha Alruwais, Ghada Moh. Samir Elhessewi, Muhammad Kashif Saeed, Menwa Alshammeri, Othman Alrusaini, Abdulwhab Alkharashi, Samah Al Zanin, Yahia Said

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SAR Analysis in an Anatomical Head Model Using CFL-Optimized Yee Cells and an Accurate Dipole Model at 700-MHz for 5G Mobile Radiation by Terapass Jariyanorawiss, Komsan Kanjanasit, Wachira Chongburee, Nattapon Sornsungnoen

“…The Yee cell is utilized for a structured lattice in the UF-FDTD approach, characterized by its uniformity and consistent application throughout the model. The research problem involves correlating the size of the human head model with the unit cell size, which is associated with the average weight of the human brain for adults. …”
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Enhancing forced convection solar collector efficiency through structural optimization: A comparative study of U-Tube, flow-guiding baffle and S-channel configurations by Guoshun Yuan, Hongzhou Zhang, Heying Chu

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Federated Reinforcement Learning in Stock Trading Execution: The FPPO Algorithm for Information Security by Haogang Feng, Yue Wang, Shida Zhong, Tao Yuan, Zhi Quan

“…The results substantiate the FPPO algorithm’s capability to safeguard privacy, ensure high performance, and enable the creation of personalized trading models in the optimal trade execution problem. This positions investors to gain a competitive edge in the dynamic and complex financial markets. …”
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Fault tolerance testing and tuning for consortium blockchain by Taiwu Pang, Zheming Ye, Zhao Zhang, Cheqing Jin

“…Based on conclusions drawn form the attribution analysis, we design and implement the test-driven optimization strategy. The experimental results show that the optimization strategy can shorten the system average delay to less than one-third of that before optimization by reducing the throughput by about 15% in most fault scenarios.…”
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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

“…This study systematically evaluated the performance of each feature selection algorithm under different population sizes, specifically by comparing their average running time and objective function values to identify the optimal feature subset. …”
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Artificial intelligence assisted common maternal fetal planes prediction from ultrasound images based on information fusion of customized convolutional neural networks by Fatima Rauf, Muhammad Attique Khan, Hussain M. Albarakati, Kiran Jabeen, Shrooq Alsenan, Ameer Hamza, Sokea Teng, Yunyoung Nam

“…The hyperparameters of the proposed architectures were initialized through Bayesian Optimization. Following the training process, deep features were extracted from the average pooling layers of both models. …”
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Optimasi Algoritma Support Vector Machine Berbasis Kernel Radial Basis Function (RBF) Menggunakan Metode Particle Swarm Optimization Untuk Analisis Sentimen by Cucun Very Angkoso, Khozainul Asror, Ari Kusumaningsih, Andi Kurniawan Nugroho

“…Furthermore, based on the results of SVM testing using parameter optimization of the PSO algorithm, an average performance increase of 11.33% was obtained for each application that had been analyzed. …”
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Joint Sampling and Transmission Policies for Minimizing Cost Under Age of Information Constraints by Emmanouil Fountoulakis, Marian Codreanu, Anthony Ephremides, Nikolaos Pappas

“…We formulate a stochastic optimization problem with the average cost in the objective under average AoI constraints. …”
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Feature selection algorithm based on improved particle swarm joint taboo search by Zhen ZHANG, Peng WEI, Yufeng LI, Julong LAN, Ping XU, Bo CHEN

“…To solve the problem of high data feature dimensionality in intrusion detection, a feature selection algorithm based on improved particle swarm optimization taboo search (IPSO-TS) was proposed. …”
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Auction based bandwidth allocation mechanism for P2P content distribution networks by Yun-he ZHANG, Yan-qin ZHU, Qi-jin JI

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