Comparison of 7 artificial intelligence models in predicting venous thromboembolism in COVID-19 patients by Indika Rajakaruna, Mohammad Hossein Amirhosseini, Mike Makris, Mike Laffan, Yang Li, Deepa J. Arachchillage

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Enhancing IoT Security in 5G Networks by Reem Alzhrani, Mohammed Alliheedi

“…We compared the results of these algorithms with three machine learning methods: Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Stochastic Gradient Descent (SGD). …”
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Interpersonal counselling for adolescent depression delivered by youth mental health workers without core professional training: the ICALM feasibility RCT by Jon Wilson, Viktoria Cestaro, Eirini Charami-Roupa, Timothy Clarke, Aoife Dunne, Brioney Gee, Sharon Jarrett, Thando Katangwe-Chigamba, Andrew Laphan, Susie McIvor, Richard Meiser-Stedman, Jamie Murdoch, Thomas Rhodes, Carys Seeley, Lee Shepstone, David Turner, Paul Wilkinson

“…Participants were randomised in a 1 : 1 ratio using a stochastic minimisation algorithm to minimise imbalance between groups in baseline symptom severity, gender and study site to receive either IPC-A or TAU. …”
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Hybrid chaotic firefly decision making model for Parkinson’s disease diagnosis by Sujata Dash, Ajith Abraham, Ashish Kr Luhach, Jolanta Mizera-Pietraszko, Joel JPC Rodrigues

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Multi-Armed Bandit Approaches for Location Planning with Dynamic Relief Supplies Allocation Under Disaster Uncertainty by Jun Liang, Zongjia Zhang, Yanpeng Zhi

“…We introduce a multi-armed bandit algorithm, named the Geometric Greedy algorithm, to optimize transfer station planning while accounting for subsequent dynamic relief supply distribution and allocation in a stochastic environment. …”
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On modeling approaches for the predictive simulation of living systms dymamics by Ivan Mura

“…REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This research paper describes two main approaches that are currently available for modelling and simulating the evolution of dynamic living systems, namely the continuous-deterministic one, which is rendered by systems of ordinary differential equations and the discrete-stochastic one, which bases on the Stochastic simulation algorithm proposed by Gil/espíe in 1976. …”
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Distributed Optimization for VPP and Distribution Network Operation Considering Uncertainty and Green Certificate Market by Jinfeng WANG, Jinpeng LI, Yinliang XU, Haitao LIU, Jinxiong HE, Jianyuan XU

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User-cooperative dynamic resource allocation for backscatter-aided wireless-powered MEC network by Huaiwen He, Chenghao Zhou, Feng Huang, Hong Shen, Yihong Yang, Shangsong Liang, Xinyuan Jin

“…Experimental results demonstrate that our algorithm not only outperforms the benchmark algorithms by approximately 23%, but also stabilize all queues within the MEC system.…”
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Traction Drive Control System for Railway Electric Rolling Stock Based on the Application of Power Factor as an Optimization Criterion by Goolak S., Gorobchenko O., Holub H., Kulbovskiy I., Petrychenko O.

“…The stated objective has been achieved through the solution of the following tasks: development of an algorithm for applying traction drive power factor as an optimization criterion, taking into account stochastic disturbance effects acting on the traction drive from the traction power supply system and mechanical load; development of a structural scheme for an optimized automatic control system of electric rolling stock traction drives, in which the proposed algorithm is implemented. …”
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Optimization of a Coupled Neuron Model Based on Deep Reinforcement Learning and Application of the Model in Bearing Fault Diagnosis by Shan Wang, Jiaxiang Li, Xinsheng Xu, Ruiqi Wu, Yuhang Qiu, Xuwen Chen, Zijian Qiao

“…Bearings are critical yet vulnerable components in mechanical equipment, with potential failures that can significantly impact system performance. As stochastic resonance methods effectively convert noise energy into fault characteristic energy within bearing vibration signals, they remain a research focus in bearing fault diagnosis. …”
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The Hessian by blocks for neural network by backward propagation by Radhia Bessi, Nabil Gmati

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Optimizing Trade-Offs in Reliability, Security, and Freshness for Integrated Communication, Sensing, and Over-the-Air Computing by Tianyu Ren, Miao Zhang, Fangyu Wang, Kaiyuan Zheng

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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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On the implementation of a global optimization method for mixed-variable problems by Nannicini, Giacomo

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HITS: Hyperplanes intersection tabu search for maximum score estimation by Kostas Florios, Alexandros Louka, Yannis Bilias

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FEATURES OF APPLICATION OF FILTERS KALMAN-BJUSI IN ORIENTATION AND NAVIGATION COMPLEXES by A. S. Benkafo, A. A. Lobaty

“…On the basis of an optimum filtration theory the analysis of methodical errors which are possible at application an optimum estimation algorithm of stochastic system phase co-ordinates is carried out. …”
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Pengenalan Angka Tulisan Tangan Menggunakan Jaringan Syaraf Buatan by Yohanes Bowo Widodo, Muhammad Amin Sakaria

“…Methode: Artificial Neural Network with Backpropagation architecture and Stochastic gradient descent learning algorithm wich is implemented in Python programming language. …”
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Unreliable communication in high-performance distributed multi-agent systems: A ingenious scheme in high computing by Ali Mustafa, Muhammad Najam ul Islam, Salman Ahmed, Muhammad Ahsan Tufail

“…A dynamically changing network topology is considered in this research with unreliable communication links, and four different scenarios are established to be analyzed for the proposed consensus-based distributed estimation algorithm. …”
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An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme by Chengcheng Chen, Xianchang Wang, Helong Yu, Nannan Zhao, Mingjing Wang, Huiling Chen

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Security-Constrained Multi-Stage Robust Dynamic Economic Dispatch with Bulk Storage by Li Dai, Renshi Ye, Dahai You, Xianggen Yin

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