A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…To address these limitations, this paper introduces a dynamic state cluster-based particle swarm optimization (DSCPSO) algorithm, which employs population phenotypic entropy based on clustering technique. (1) The algorithm provides theoretical splitting points by mathematically analyzing the population into four states: convergence, exploitation, escape, and exploration, enabling more effective parameter adaptive mechanisms. (2) DSCPSO incorporates sinusoidal chaos mapping to dynamically adjust inertia weights, allowing particles to better align with the population’s evolutionary state. (3) During the convergence state, an intelligent particle migration strategy (IPMS) enhances search efficiency within the solution space, preventing unnecessary computational resource consumption. …”
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Arabic Word Recognition Using Wavelet Neural Network by Yousra Al-Irhaim, Enaam Saeed

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Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions by Mustafa Ghaleb, Mosab Hamdan, Abdulaziz Y. Barnawi, Muhammad Gambo, Abubakar Danasabe, Saheed Bello, Aliyu Habib

“…Existing models for NTC often require significant computational resources due to their large number of parameters, leading to slower inference times and higher memory consumption. …”
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A Novel YOLO Algorithm Integrating Attention Mechanisms and Fuzzy Information for Pavement Crack Detection by Qingqing Li, Tianshu Wu, Tingfa Xu, Jianmei Lei, Jiu Liu

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Penentuan Jalur Diagnostik Penyakit Berbasis Konsep Pembelajaran Mesin: Studi kasus Penyakit Hepatitis C by Jimmy Tjen, Valentino Pratama

“…Based on the experiment, the distance correlation-based classification tree algorithm outperforms the classical classification tree algorithm by around 3% while using only 7 features instead of 12 as in the classical algorithm. …”
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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

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Lightweight detection of cotton leaf diseases using StyleGAN2-ADA and decoupled focused self-attention by Henghui Mo, Linjing Wei

“…Post-pruning, the model’s parameters are reduced to 4.9 million (M), with a computational demand of 31.5 Giga Floating-Point Operations Per Second (GFLOPs), showing superior performance over existing models. …”
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CHDPL-Net: a lightweight network for Chinese herbal decoction pieces detection by Chuhe Lin, Zhijun Xie, Xing Jin, Hangjuan Lin, Renguang Shan

“…Additionally, a newly designed downsampling module, RDown, replaces conventional downsampling methods to reduce computational overhead, while the adopted upsampling module, DySample, significantly enhances the recovery of detailed features. …”
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UNSW-MG24: A Heterogeneous Dataset for Cybersecurity Analysis in Realistic Microgrid Systems by Zhibo Zhang, Benjamin Turnbull, Shabnam Kasra Kermanshahi, Hemanshu Pota, Jiankun Hu

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Enhanced detection of accounting fraud using a CNN-LSTM-Attention model optimized by Sparrow search by Peifeng Wu, Yaqiang Chen

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Adoption of Neural Networks to Classified the Gender of the Speaker by Khalil Al-Saif, Mason Al-Nuaimi

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A New Shifted Lomax-X Family of Distributions : Properties and Applications to Actuarial and Financial Data by Mintodê Nicodème Atchadé, Agossou Alex Agbahide, Théophile Otodji, Mahoulé Jude Bogninou, Aliou Moussa Djibril

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Comparison of Various Machine Learning Models for Estimating Construction Projects Sales Valuation Using Economic Variables and Indices by Yazan Alzubi

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A New Extention of the Odd Inverse Weibull-G Family of Distributions: Bayesian and Non-Bayesian Estimation with Engineering Applications by Yassmen Y. Abdelall, Amal Soliman Hassan, Ehab M. Almetwally

“…In order to evaluate the behavior of the parameter estimates, the point and interval estimation parameters are examined using both Bayesian and non-Bayesian methods. …”
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Comparative Analysis of Machine Learning Models for CO Emission Prediction in Engine Performance by Beytullah Eren, İdris Cesur

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MSD-YOLO11n: an improved small target detection model for high precision UAV aerial imagery by Xin Zhang, Baoyang Du, Yaoxing Jia, Kairui Luo, Li Jiang

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Dynamics and optimal control of fractional-order monkeypox epidemic model with social distancing habits and public awareness by Raqqasyi Rahmatullah Musafir, Agus Suryanto, Isnani Darti, Trisilowati

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Sensor Infused Quantum CNN for Diabetes Disease Prediction and Diet Recommendation by Jameer Kotwal, Pravin Futane, Gurunath Chavan, Archana Chaudhari, Jithina Jose, Vajid Khan

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Application of Gated Recurrent Unit in Electroencephalogram (EEG)-Based Mental State Classification by Gst. Ayu Vida Mastrika Giri, Ngurah Agus Sanjaya ER, I Ketut Gede Suhartana

“…The mean, standard deviation, skewness, kurtosis, power spectral density, zero-crossing rate, and root mean square were extracted as statistical features from the raw EEG data. After parameter tuning, the GRU-based model achieved an excellent average accuracy value of 95.94% and also yielded precision, recall, and F1-scores within the range of 0.95 to 0.97 over 5-fold cross-validation. …”
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Classification from Sky: A Robust Remote Sensing Time Series Image Classification Using Spatial Encoder and Multi-Fast Channel Attention by Kwabena Sarpong, Jehoiada Kofi Jackson, Derrick Effah, Daniel Addo, Sophyani Banaamwini Yussif, Mohammad Awrangjeb, Rutherford Agbeshi Patamia, Juliana Mantebea Danso, Zhiguang Qin

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