Relay-Assisted Wireless Sensor Networks Using KNN-DBSCAN Static Clustering by Thierry Taning Longla, Tansal Gucluoglu, Tamer Dag

“…To address this challenge, we propose KDL, a novel hybrid clustering algorithm that combines K-Nearest Neighbor (KNN) and Density-Based Spatial Clustering (DBSCAN) to optimize energy efficiency in WSNs. …”
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A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement by Imam Yuadi, Novanto Yudistira, Habiddin Habiddin, Khoirun Nisa'

“…Digital preservation to preserve information in ancient manuscripts is often not optimal because of the object’s condition, which has degraded over time. …”
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AI-enhanced fire detection and suppression system for autonomous ships by Hyuk Lee, Jung Hoon Chung, Hyun Chung, Jong-Hwan Kim, Yongho Yoo, Gil Hyuk Lim, Won-Sun Ruy

“…In this paper, we introduce an innovative AFDSS that integrates RGB, infrared (IR), and ultraviolet (UV) sensors to reduce false alarms and employ a reinforcement learning algorithm to optimize water spray under sea conditions. …”
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Evolution of Computer-Aided Process Planning for Hybrid Additive/Subtractive Process by Osama Abdulhameed, Abdulrahman Al-Ahmari, Syed Hammad Mian, Abdulmajeed Dabwan, Hisham Alkhalefah

“…Additionally, the genetic algorithm has been employed to obtain the best path with minimum inspection time. …”
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Image-Based Classification of Freshwater Fish Species to Support Feed Recommendation Using Random Forest by Hindayati Mustafidah, Suwarsito Suwarsito, Rahmat Setiawan, Abdul Karim

“…Notably, catfish, barb, and tilapia classes achieved perfect classification, while pomfret and gourami showed room for improvement due to overlapping visual features. …”
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Low power IoT device communication through hybrid AES-RSA encryption in MRA mode by Qiang Chang, Tianqi Ma, Wenzhong Yang

“…The enhanced RSA algorithm replaces the traditional dual-prime system with a triple-prime system, increasing the number of primes while reducing the bit length of each prime. …”
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Global trends in machine learning applications for single-cell transcriptomics research by Xinyu Liu, Zhen Zhang, Chao Tan, Yinquan Ai, Hao Liu, Yuan Li, Jin Yang, Yongyan Song

“…Research hotspots concentrated on random forest (RF) and deep learning models, showing transition from algorithm development to clinical applications (e.g., tumor immune microenvironment analysis). …”
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Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

“…To further enhance the LSTM performance, the GWO is employed to adaptively optimize the key parameters of the LSTM. Thirdly, to fully leverage the advantages of XGBoost in handling nonlinear relationships and high-dimensional data while overcoming its complexities in parameter tuning and slower convergence, the GA is used to optimize the parameters of XGBoost. …”
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Continuous Train Positioning Using Visible Light Communication Assisted with Zero Velocity Update by Yanpeng ZHANG, Rongrong ZHANG, Nan MENG, Bingqing ZHANG, Xia XIAO

“…A zero-velocity detection condition is adopted to determine whether the train is stationary, and the results of dynamic train positioning are further optimized using the Unscented Kalman Filter (UKF) algorithm. …”
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Hexapod robot motion planning investigation under the influence of multi-dimensional terrain features by Chen Chen, Chen Chen, Junbo Lin, Junbo Lin, Bo You, Bo You, Jiayu Li, Jiayu Li, Biao Gao, Biao Gao

“…Based on these features, a traversal cost map is synthesized, and an enhanced A* algorithm is developed that incorporates terrain traversal metrics to optimize path planning safety across complex field environments. …”
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Tennis Timing Assessment by a Machine Learning-Based Acoustic Detection System: A Pilot Study by Lucio Caprioli, Amani Najlaoui, Francesca Campoli, Aatheethyaa Dhanasekaran, Saeid Edriss, Cristian Romagnoli, Andrea Zanela, Elvira Padua, Vincenzo Bonaiuto, Giuseppe Annino

“…<b>Results:</b> The ML algorithm showed a detection accuracy higher than 95%, while the average accuracy of the whole system that was applied on-court was 85%. …”
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VIS/NIR Spectroscopy as a Non-Destructive Method for Evaluation of Quality Parameters of Three Bell Pepper Varieties Based on Soft Computing Methods by Meysam Latifi Amoghin, Yousef Abbaspour-Gilandeh, Mohammad Tahmasebi, Mohammad Kaveh, Hany S. El-Mesery, Mariusz Szymanek, Maciej Sprawka

“…Raw spectral data were initially modeled using partial least squares regression (PLSR). To optimize wavelength selection, support vector machines (SVMs) were combined with genetic algorithms (GAs), particle swarm optimization (PSO), ant colony optimization (ACO), and imperial competitive algorithm (ICA). …”
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A 3D acid fracturing design calibrated to describe the productivity index in several southwestern Iranian oil fields by Mohammad Mirhashemi, Kaveh Ahangari, Ali Naghi Dehghan, Kamran Goshtasbi

“…Once these parameters are stabilized, the algorithm proceeds to calculate acid concentration at each node within the fracture area. …”
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Federated learning with integrated attention multiscale model for brain tumor segmentation by Sherly Alphonse, Fidal Mathew, K. Dhanush, V. Dinesh

“…While comparing the developed model with the other existing methods, the proposed methodology shows better performance.…”
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Three-Dimensional Imaging of High-Contrast Subsurface Anomalies: Composite Model-Constrained Dual-Parameter Full-Waveform Inversion for GPR by Siyuan Ding, Deshan Feng, Xun Wang, Tianxiao Yu, Shuo Liu, Mengchen Yang

“…Numerical experiments show that TV regularization can optimize permittivity reconstruction, while MSG regularization is more suitable for conductivity inversion. …”
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Prediction using inelastic constitutive artificial neural networks for impact of dead-time on inverters in wireless power transfer systems by Mr. Franklin J, Dr. Pongiannan R K

“…The proposed approach is the combined operation of both the Snooker-Based Optimization Algorithm (SBOA) and the Inelastic Constitutive Artificial Neural Networks (ICANN). …”
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Detection of Critical Parts of River Crab Based on Lightweight YOLOv7-SPSD by Guoai Fang, Yu Zhao

“…These additions help achieve an initial reduction in model size while preserving detection accuracy. Furthermore, we optimize the model by removing redundant parameters using the DepGraph pruning algorithm, which facilitates its application on edge devices. …”
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InvMOE: MOEs Based Invariant Representation Learning for Fault Detection in Converter Stations by Hao Sun, Shaosen Li, Hao Li, Jianxiang Huang, Zhuqiao Qiao, Jialei Wang, Xincui Tian

“…To overcome these issues, we propose InvMOE, a novel fault detection algorithm with two core components: (1) invariant representation learning, which captures task-relevant features and mitigates background noise interference, and (2) multi-task training using a mixture of experts (MOE) framework to adaptively optimize feature learning across tasks and address label sparsity. …”
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Robust Drone Video Analysis for Occluded Urban Traffic Monitoring Based on Deep Learning by Carlos Gellida-Coutino, Reyes Rios-Cabrera, Alan Maldonado-Ramirez, Anand Sanchez-Orta

“…The results enable precise input for traffic simulators (e.g., PTV-Vissim), supporting data-driven UTM decisions while minimizing costly real-world experimentation.…”
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Bamboo bio composite: A renewable and sustainable sound absorber for acoustic comfort in indoor settings by Hassan Irvani, Hassan Asilian Mahabadi, Ali Khavanin, Ali Safari Variani, Mohammad Javad SheikhMozafari

“…Porosity and airflow resistivity (AFR) parameters were directly determined, while the parameters of tortuosity, viscous, and thermal characteristic length were inversely determined using the differential evolution algorithm in MATLAB. …”
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