Improved YOLOv5: Efficient Object Detection for Fire Images by Dongxing Yu, Shuchao Li, Zhongze Zhang, Xin Liu, Wei Ding, Xinyi Zhao

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The Effect of Cold Eddy on Acoustic Propagation (Case Study: Eddy in the Persian Gulf) by Omid Mahpeykar, Amir Ashtari Larki, Mohammad Akbari Nasab

“…Also, the presence of cold eddy compared to the conditions it does not exist increases the transmission loss. …”
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Implementing and Evaluating an Heterogeneous, Scalable, Tridiagonal Linear System Solver with OpenCL to Target FPGAs, GPUs, and CPUs by Hamish J. Macintosh, Jasmine E. Banks, Neil A. Kelson

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Improving Portfolio Management Using Clustering and Particle Swarm Optimisation by Vivek Bulani, Marija Bezbradica, Martin Crane

“…This paper addresses the notable research gap in analysing historical financial data for portfolio optimisation purposes. …”
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Anti-Freezing and Operation Optimization Design of Air-Conditioning Systems for Industrial Plants in Severely Cold Regions by Baogang Zhang, Weitao Wang, Ming Liu, Mingxuan Liu

“…Multi-objective optimization through the NSGA-II algorithm was performed on parameters including the set temperature, water flow rate, and fresh air volume, achieving coordinated optimization of energy consumption (11.4% reduction compared to pre-optimization) and thermal comfort. …”
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Combating electricity fraud: Employing hybrid learning and computer vision for sustainable energy management by Jui-Sheng Chou, Nader Anwar Charaf, Dani Nugraha Limantono, Hoang-Minh Nguyen

“…This paper presents an integrated approach that utilizes a comprehensive dataset, encompassing all customer energy consumption records. The study compares the classification performance of convolutional neural networks (CNNs), traditional machine learning models, and metaheuristic optimization algorithms in identifying fraudulent versus genuine users through detailed analysis and experimentation. …”
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Detection of Damage on Inner and Outer Races of Ball Bearings Using a Low-Cost Monitoring System and Deep Convolution Neural Networks by Handeul You, Dongyeon Kim, Juchan Kim, Keunu Park, Sangjin Maeng

“…Although numerous studies have introduced machine learning methods for bearing fault diagnosis, the high costs associated with sensors and data acquisition devices limit their practical application in industrial environments. Additionally, research aimed at identifying the root causes of faults through diagnostic algorithms has progressed relatively slowly. …”
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Verification of the person’s dynamic signature on a limited number of samples by V. V. Starovoitov

“…Since these data sets have different lengths, the dynamic time warping algorithm is used to compare them. The results of this transformation are distances between the dynamic features of two signatures, which serve as coordinates of a point in the feature space that describes the similarity of these signatures. …”
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Automatic measurement of proximal femoral morphological parameters using point cloud semantic segmentation technology by Yagang Wang, Qiulong Yang, Jiantao Li, Kaixuan Wang, Miaotian Tang

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Reliability evaluation of dynamic face recognition systems based on improved Fuzzy Dynamic Bayesian Network by Zhiqiang Liu, Wenbo Zhu, Hongzhou Zhang, Shengjin Wang, Lu Fang, Weijun Hong, Hua Shao, Guopeng Wang

“…Subsequently, we infer to solve the fuzzy reliability state probabilities of the six systems with Netica and get two most important factors with the improved fuzzy C-means algorithm. We verify the model by comparing the evaluation results with actual achievements of these systems. …”
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Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems by Kesav Ram Kaza, Rahul H. Meshram, Varunkumar Mehta, Shabbir N. Merchant

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Denoising of acoustic emission signals from rock failure processes through ICEEMDAN combined with multiple criteria and wavelet transform by Tao Wang, Weiwei Ye, Liyuan Liu, Zhihui Zhao, Wei Huang

“…This research introduces a novel approach for optimizing the application of rock AE signals.…”
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A Deep Reinforcement Learning Framework for Last-Mile Delivery with Public Transport and Traffic-Aware Integration: A Case Study in Casablanca by Amine Mohamed El Amrani, Mouhsene Fri, Othmane Benmoussa, Naoufal Rouky

“…The pickup and delivery operations are optimized with the proximal policy optimization algorithm within this environment, and experiments are conducted to assess the effectiveness of public transportation integration and three different exploration strategies. …”
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Early Warning for the Construction Safety Risk of Bridge Projects Using a RS-SSA-LSSVM Model by Gang Li, Ruijiang Ran, Jun Fang, Hao Peng, Shengmin Wang

“…The proposed model integrates a rough set (RS), the sparrow search algorithm (SSA), and the least squares support vector machine (LSSVM). …”
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Active Attitude Stabilization and Power-Constrained Control of Bicycles Based on VSCMG System by Huifeng Kang, Xiangqiu Chen, Zehui Wang, Jifa Zhu, Guangqing Xia

“…The inherent static instability of bicycles poses significant safety risks, driving research into active stabilization systems within the broader field of autonomous vehicle control. …”
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A Capacitated Vehicle Routing Model for Distribution and Repair with a Service Center by Irma-Delia Rojas-Cuevas, Elias Olivares-Benitez, Alfredo S. Ramos, Samuel Nucamendi-Guillén

“…Additionally, a Variable Neighborhood Search (VNS) algorithm was implemented and compared with AMPL-Gurobi. …”
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Identification Method of Shaft Orbit in Rotating Machines Based on Accurate Fourier Height Functions Descriptors by Bo Wu, Songlin Feng, Guodong Sun, Liang Xu, Chenghan Ai

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Development of Differentiated E-Learning to Improve Students' Motivation and Learning Independence at SMAN 1 Panggang, Gunungkidul Regency by Ari Mardian, Herman Dwi Surjono

“…The results of this research and development are as follows: (1) development of a Moodle-based differentiated e-learning platform accessible via www.esman1panggang.com, featuring programming algorithm materials adapted to students' diverse learning styles across four sessions; (2) validation by material experts (4.11) and media experts (4.10), both categorized as "very feasible"; (3) teacher and student practicality assessments rated at 4.19 and 4.55, respectively, indicating the media is "feasible"; and (4) significant effectiveness in enhancing motivation and learning independence, evidenced by higher N-Gain scores in the experimental group compared to the control group, and statistically significant differences in pretest and posttest results (p < 0.05). …”
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Differential Diagnosis of Peripheral Lung Lesions: Capabilities and Limitations of Current Methods by R. N. Islamov, R. A. Sharipov, M. A. Bagirov, R. K. Tukfatullin, G. V. Chitorelidze, E. V. Pavlova, R. K. Yagafarova

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Extreme Mediterranean cyclones and associated variables in an atmosphere-only vs. an ocean-coupled regional model by M. Chericoni, M. Chericoni, M. Chericoni, G. Fosser, E. Flaounas, G. Sannino, G. Sannino, A. Anav, A. Anav

“…The two simulations are then compared in terms of sub-daily fields at the cyclones' maximum intensity. …”
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