Trilateral Smart Switching Algorithm for Improving Smart Meters Efficiency in Advanced Metering Infrastructure (AMI) Network by Kanabadee Srisomboon, Kitipoth Wasayangkool, Wilaiporn Lee

“…Throughout implementation of the IPv6 routing protocol for low power and lossy networks (RPL) on AMI network, parent selection acts as the critical function which aims to achieve reliable data transmission and energy-efficient objective of AMI network where the data should be transmitted with high PDR and low latency while the network lifetime should be long with workload-balanced network. …”
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An Algorithm for the Shape-Based Distance of Microseismic Time Series Waveforms and Its Application in Clustering Mining Events by Hao Luo, Ziyu Liu, Song Ge, Linlin Ding, Li Zhang

“…To improve the efficiency and accuracy of microseismic event extraction from time-series data and enhance the detection of anomalous events, this paper proposes a Multi-scale Fusion Convolution and Dilated Convolution Autoencoder (MDCAE) combined with a Constraint Shape-Based Distance algorithm incorporating volatility (CSBD-Vol). MDCAE extracts low-dimensional features from waveform signals through multi-scale fusion and dilated convolutions while introducing the concept of waveform volatility (Vol) to capture variations in microseismic waveforms. …”
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Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

“…Therefore, in this paper, we introduce a hybrid detection model that investigates the ability to integrate PSO and GWO so as to improve the DNN architecture to detect the Sunburst attack. The PSO algorithm was used to optimize the learning rate and the number of hidden layers, while the GWO algorithm was used to optimize the neuron weight. …”
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A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention by Yizong Wang, Zhengrong Xiao, Hong Wang, Fei Li, Jiya Tian

“…Background Aiming at the problems of complex and diverse field symptoms of citrus Huanglong disease (HLB), low efficiency and insufficient recognition accuracy of traditional detection methods, this study proposes an efficient detection algorithm based on improved You Only Look Once (YOLO)v8. …”
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Novel Approach for Energy Balancing With Intermittent Renewable Energy Source Using Multi-Objective Genetic Algorithm by Ahmad Shah Irshad, M. H. Elkholy, Nahar F. Alshammari, Gul Ahmad Ludin, Tomonobu Senjyu, Gabor Pinter, Alexey Mikhaylov

“…Despite some energy losses, the contribution of each system is derived from the optimization process, where the FPV system contributes approximately 29% of the total energy produced, while the hydroelectric system provides the remaining 71%. …”
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Optimal sizing of hybrid renewable energy systems relying on the black winged kite algorithm for performance evaluation by Sarada Mohapatra, Deepa Kaliyaperumal, T. Porselvi, S. V. Tresa Sangeetha, Roobaea Alroobaea, Ahmed Emara

“…This study employs a recently developed Black-Winged Kite Algorithm (BKA) to optimize the size of a PV/WT/BT hybrid system to continuously distribute the electrical power to an educational institution sited in Puri, Odisha, India, with the goal of minimizing the total annual cost (TAC) while considering least levelized cost of electricity (LCOE). …”
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Evaluation of Thermal Damage Effect of Forest Fire Based on Multispectral Camera Combined with Dual Annealing Algorithm by Pan Pei, Xiaojian Hao, Ziqi Wu, Rui Jia, Shenxiang Feng, Tong Wei, Wenxiang You, Chenyang Xu, Xining Wang, Yuqian Dong

“…In recent years, the frequency and severity of large-scale forest fires have increased globally, threatening forest ecosystems, human lives, and property while potentially triggering cascading ecological and social crises. …”
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Performance of Ground-Based Solar-Induced Chlorophyll Fluorescence Retrieval Algorithms at the Water Vapor Absorption Band by Yongqi Zhang, Xinjie Liu, Shanshan Du, Mengjia Qi, Xia Jing, Liangyun Liu

“…The results show that sFLD consistently overestimates SIF in the water vapor band, limiting its reliability, while SFM performs best across varying conditions. …”
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Single-Source and Multi-Source Cross-Subject Transfer Based on Domain Adaptation Algorithms for EEG Classification by Rito Clifford Maswanganyi, Chunling Tu, Pius Adewale Owolawi, Shengzhi Du

“…In this paper, domain adaptation algorithms, including two machine learning (ML) algorithms, are contrasted based on the single-source-to-single-target (STS) and multi-source-to-single-target (MTS) transfer paradigms, mainly to mitigate the challenge of immense inter-subject variations in EEG neural dynamics that lead to poor classification performance. …”
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An Identification and Localization Method for 3D Workpiece Welds Based on the DBSCAN Point Cloud Clustering Algorithm by Nian Zhou, Ping Jiang, Shiliang Jiang, Leshi Shu, Xiaoxian Ni, Linjun Zhong

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Synergizing advanced algorithm of explainable artificial intelligence with hybrid model for enhanced brain tumor detection in healthcare by Kamini Lamba, Shalli Rani, Mohammad Shabaz

“…Abstract Brain tumor causes life-threatening consequences due to which its timely detection and accurate classification are critical for determining appropriate treatment plans while focusing on the improved patient outcomes. …”
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Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo

“…To address these challenges, we propose an innovative emotion recognition framework that integrates a Randomised Convolutional Neural Network (RCNN) with a Multi-Head Attention model, further optimized by the Football Team Training Algorithm (FTTA) metaheuristic to enhance network parameters effectively. …”
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Comparative Analysis of Fractals-Homogeneity-Entropy Algorithms Applied on a FEM Bridge Model to Identify Damage by Jose M. Machorro-Lopez, Martin Valtierra-Rodriguez, Jose T. Perez-Quiroz, Juan P. Amezquita-Sanchez

“…This study presents a systematic comparative analysis of multiple damage detection algorithms, including six different fractal dimensions (FDs), the homogeneity index (HI), and the Shannon entropy index (SEI). …”
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Optimization of kinematic parameters of continuous miner based on LS-DYNA simulation analysis and NSGA-II algorithm by Xunan Liu, Yiming Liu, Faquan Li, Yanpeng Zhang, Jianyong Wang, Lianwei Ma

“…A multi-objective optimization model was formulated to maximize cutting force and power while minimizing specific cutting energy, constrained by rated power and operational limits. …”
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Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. by Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

“…The aim of this study was to evaluate the performance of alternative multivariate procedures for principal component analysis (PCA), using the Nonlinear Iterative Partial Least Squares (NIPALS) and Expectation-Maximization (EM) algorithms, for imputing missing data in time series of meteorological variables. …”
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ТHЕ ALGORITHM OF ANALYSIS OF AGRICULTURAL RISKS UNDER INFLUENCE OF INCOMPLETE INFORMATION ABOUT THEIR PARAMETERS by L. O. Lomovskykh, O. V. Mandych, O. O. Kovalenko, N. A. Karasova, A. Orzeł

“… The risk analysis algorithms, which are offered by domestic scientists for Ukrainian farmers, are limited in use and are often obsolete. …”
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355 Validation of an artificial intelligence Algorithm for predicting diagnosis-related groups in a community health system by Angela Muhanga, King Jason, Xsolis Mueller, Jennifer L. Sanger, Julie M. Bartlett, Brian N. Manz, James W. Spiten, Matthew J. Overgaard, Shauna M. Wang Hanyin

“…This algorithm, a 1D convolutional neural network, predicts DRGs based on clinical documentation. …”
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Enhanced optimisation of MPLS network traffic using a novel adjustable Bat algorithm with loudness optimizer by Mohsin Masood, Mohamed Mostafa Fouad, Rashid Kamal, Khursheed Aurangzeb, Sheraz Aslam, Zahid Ullah, Ivan Glesk

“…This study explores the influence of the algorithm's loudness parameter and introduces a novel Adjustable Bat Algorithm (ABAT) that dynamically optimizes this parameter. …”
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Automatic Extraction and Counting of Fish from Underwater Videos Using YOLO-Based Deep Learning Algorithms by F. Gallitto, A. M. Lingua, F. Matrone, F. Chiabrando, X. Li, S. Secco, S. Secco, A. Acierno, M. Scalici

“…Various detection models, including DeepFins, DeepEcomar, YOLOv8, and YOLOE, and tracking algorithms such as DeepSort, ByteTrack, and SAMURAI were evaluated. …”
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Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis by Louai A. Maghrabi, Mohammed Altwijri, Sami Saeed Binyamin, Fouad Shoie Alallah, Diaa Hamed, Mahmoud Ragab

“…This article presents an effective secure biometric retinal iris identification using an orca predator’s algorithm with deep learning (SBRIC-OPADL) technique. …”
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