Interference-Aware Fault-Tolerant Energy Spanner in Wireless Ad Hoc Networks by Dong Wang, Wang-Chen Long, Xiao-Hong Li

“…In this paper, we study the problem of power assignment in order that its induced communication graph meets the following properties: (1) it is an energy- t -spanner which is energy efficient; (2) it is k -fault resistant which can withstand up to k - 1 node failures where k   ⩾  1; (3) the interference is minimal. We propose algorithms to address this problem. Both the theoretic analysis and the simulations in the paper prove that our algorithms can induce a k -fault resistant energy spanner and furthermore the interference is minimized. …”
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New Wavelets Collocation Method for Solving Second-Order Multipoint Boundary Value Problems Using Chebyshev Polynomials of Third and Fourth Kinds by W. M. Abd-Elhameed, E. H. Doha, Y. H. Youssri

“…This paper is concerned with introducing two wavelets collocation algorithms for solving linear and nonlinear multipoint boundary value problems. …”
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Construction of College Students’ Mental Health Assessment and Art Therapy System Aided by the Internet of Things and Big Data by Qing Li

“…In order to improve the effect of college students’ mental health assessment, this paper combines the Internet of Things and big data technology to build a college student’s mental health assessment system and analyzes and verifies the clustering effectiveness indicators by using FCM, GK, and GG clustering algorithms. Moreover, this paper explores the basic concepts and processes of FCM algorithm, GK algorithm, and GG algorithm and expounds the connection between the three algorithms. …”
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Multiplicatively weighted Voronoi-based sensor collaborative redeployment in software-defined wireless sensor networks by Minghua Wang, Ran Ou, Yan Wang

“…Finally, we demonstrate the superiority of the confident information coverage–based multiplicatively weighted Voronoi diagram and the effectiveness and efficiency of our proposed algorithms via a series of experiments.…”
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Categorizing and Determining of BI-RAD Breast Cancer Score by Using Deep Learning Techniques by Azhar Kassem Flayeh, Ali Douik

“…Artificial intelligence algorithms have created many techniques to extract features from massive volumes of data through training, such as deep learning. …”
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Decentralized Frequency Regulation by Using Novel PID Sliding Mode Structure in Multi-Area Power Systems With Hydropower Turbines by Dao Trong Tran, Anh-Tuan Tran, van van Huynh, Ton Duc do

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A Hybrid Dynamic Path-Planning Method for Obstacle Avoidance in Unmanned Aerial Vehicle-Based Power Inspection by Zheng Huang, Chengling Jiang, Chao Shen, Bin Liu, Tao Huang, Minghui Zhang

“…To address the RRT* algorithm’s limitation in dynamic obstacle avoidance, a local path-planning method combining the improved DWA algorithm is proposed, improving efficiency in areas with dense obstacles. …”
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Effectiveness of Centrality Measures for Competitive Influence Diffusion in Social Networks by Fairouz Medjahed, Elisenda Molina, Juan Tejada

“…They independently and simultaneously select their seeds (initial adopters) using an algorithm from a finite strategy space of algorithms. …”
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Fortifying IoT Infrastructure Using Machine Learning for DDoS Attack within Distributed Computing-based Routing in Networks by Sharaf Aldeen Abdulkadhum Abbas, Abdullahi Abdu Ibrahim

“…We evaluate these algorithms using metrics such as the confusion matrix, F1 score, and AUC-ROC to determine their performance in managing imbalanced datasets and generating meaningful insights. …”
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Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

“…To achieve ultimate efficiency, the current study experimented with a range of machine-learning algorithms. The algorithms include Support Vector Machines (SVM), Random Forests (RF), Decision Trees, K-Nearest Neighbors (KNN) and Convolutional Neural Networks (CNN). …”
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3GPP-Compliant Datasets for xG Location-Aware Networks by Andrea Conti, Gianluca Torsoli, Carlos A. Gomez-Vega, Alessandro Vaccari, Gianluca Mazzini, Moe Z. Win

“…This calls for new localization algorithms as well as for 3GPP-standardized scenarios to support their systematic development and testing. …”
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Programming for Stimulation-Induced Transient Nonmotor Psychiatric Symptoms after Bilateral Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease by Xi Wu, Yiqing Qiu, Keith Simfukwe, Jiali Wang, Jianchun Chen, Xiaowu Hu

“…In these patients, the contacts inducing STPS were found and the programming protocol algorithms used. Results. Eleven patients were diagnosed with STPS. …”
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Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach by Rayees Ahamad, Kamta Nath Mishra

“…It may further be increased by employing a hybrid approach of intelligent algorithms. This study highlights the adaptability of the ESIHE_AML algorithms-based model for analyzing sentiments in digital communication systems of the modern era.…”
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Interacting Large Language Model Agents Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…This paper discusses the theory and algorithms for interacting large language model agents (LLMAs) using methods from statistical signal processing and microeconomics. …”
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

“…The experimental results demonstrate that the DFD ensemble learning-based software defect prediction model outperforms the ten other models, including five common machine learning (ML) classification algorithms (logistic regression (LR), naïve Bayes (NB), K-nearest neighbor (KNN), decision tree (DT), and support vector machine (SVM)), two deep learning (DL) algorithms (multi-layer perceptron (MLP) and convolutional neural network (CNN)), and three ensemble learning algorithms (random forest (RF), extreme gradient boosting (XGB), and stacking). …”
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Prediction of the Bending Strength of Boltless Steel Connections in Storage Pallet Racks: An Integrated Experimental-FEM-SVM Methodology by Zhi-Jun Lyu, PeiCai Zhao, Qi Lu, Qian Xiang, HongLiang Li

“…The results obtained indicate that the SVM algorithms slightly outperform the ANN algorithms, although both of them are in good agreement with FEM and physical test. …”
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Lipid Mediator Informatics and Proteomics in Inflammation-Resolution by Yan Lu, Song Hong, Katherine Gotlinger, Charles Serhan

“…This review presents detailed protocols used in our lab for LM informatics and proteomics using LC-UV-MS/MS, GC-MS, ELISA, novel databases and searching algorithms, and 2-dimensional gel electrophoresis and LC-nanospray-MS/MS peptide mapping.…”
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THE USE OF ARTIFICIAL INTELLIGENCE ON COLPOSCOPY IMAGES AND SEGMENTAL VOLUMES, CONSTRUCTED FROM MRI AND CT IMAGES, IN THE DIAGNOSIS AND STAGING OF PRECANCERS, CERVICAL CANCERS AND... by Hlescu Cristian Stefan, Tudor Florin Ursuleanu, Roxana Grigorovici, Andreea Roxana Luca, Ramona Elena Teiu, Maria Paula Comanescu, Alina Ionela Calin, Alexandru Grigorovici

“…Additionally, the research includes a comparative study of various algorithms and tools employed in segmental volumetric constructions to generate 3D images from MRI/CT data. …”
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Sensor Image, Anomaly Detection Method for Hydroelectric Dam Structure Using Sensors Measurements and Deep Learning by Van-Phuong Ha, Dinh-Van Nguyen, Trong-Chuong Trinh, Duc-Cuong Quach, Van HuyBui

“…To better prevent future disasters, machine-learning algorithms have been employed. Often, these algorithms are trained on historical sensor data to predict future events. …”
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Processing of retransmitted GPS signals in the problem of measuring the total electron content in the ionosphere by Y. A. Kapliarchuk, S. V. Kozlov, I. E. Savinykh, A. S. Shapkin

“…The algorithm can be used for estimating TEC based on the retransmission of signals from GPS.…”
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