Developing a Robust Fuzzy Inference Algorithm in a Dog Disease Pre-Diagnosis System for Casual Owners by Kwang Baek Kim, Doo Heon Song, Hyun Jun Park

“…We evaluated three fuzzy inference algorithms—PFCM-R, FHAL, and MNFL. While PFCM-R achieved high accuracy with clean data, it struggled with noisy inputs. …”
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Expansion of Output Spatial Extent in the Wavenumber Domain Algorithms for Near-Field 3-D MIMO Radar Imaging by Yifan Gong, Limin Zhai, Yan Jia, Yongqing Liu, Xiangkun Zhang

“…To suppress aliasing while expanding the output spatial extent, an optimization approach for the wavenumber domain algorithms is proposed. …”
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Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study by Prasanta Kumar Samal, R. Srinidhi, Pramod Kumar Malik, H. J. Manjunatha, Imran M. Jamadar

“…This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in condition monitoring systems. …”
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The Lightweight Fracture Segmentation Algorithm for Logging Images Based on Fully 3D Attention Mechanism and Deformable Convolution by Qishun Yang, Liyan Zhang, Zihan Xi, Yu Qian, Ang Li

“…Experimental results demonstrate that SWSDS-Net achieves optimal performance across all evaluation metrics in this task, delivering superior visual results in fracture segmentation while successfully overcoming limitations present in existing algorithms such as complex shapes, noise interference, and low-quality images. …”
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DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification by Musa Adamu Wakili, Harisu Abdullahi Shehu, Mahdi Abdollahi, Badamasi Imam Ya'u, Md Haidar Sharif, Huseyin Kusetogullari

“…Early and accurate diagnosis is critical for effective treatment and improved patient outcomes. While histopathological image analysis plays a key role in breast cancer diagnosis, the complexity and heterogeneity of these images present significant challenges. …”
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Research on Early Diagnosis Methods for Broiler Chicken Diseases Based on Swarm Intelligence Optimization Algorithms and Random Forest by X Peng, C Chen, L Yu, X Kong, B Sun

“…The optimized parameters were subsequently implemented in the RF classifier training. The composite algorithm reduced feature redundancy by approximately 30% while ensuring the effective retention of critical diagnostic indicators. …”
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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

“…In evaluating the value of gene expression for diagnosis and prognosis, the analyzed datasets allowed for the ranking of biomarkers, resulting in eighteen diagnostic genes and fifteen prognostic genes that were used for further algorithm development. Ultimately, a linear support vector machine algorithm incorporating ten genes was identified for diagnostic application, while a radial basis function support vector machine algorithm, also utilizing ten genes, was selected for prognostic prediction. …”
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Coordinated optimal scheduling of island microgrid for power-hydrogen-carbon integration based on SAO-NSGA-II algorithm by XI Honglei, SUN Jingliao, QU Hezuo, SHI Zhengchai, HU Changhong, LIU Jinyuan

“…Then， SAO is used to improve NSGA-II， with different individual update formulas applied at different iteration stages to avoid local optima while maintaining the algorithm’s iteration speed. …”
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Adoption of K-means clustering algorithm in smart city security analysis and mythical experience analysis of urban image. by Haotong Han

“…<h4>Objective</h4>An information security evaluation model based on the K-Means Clustering (KMC) +  Decision Tree (DT) algorithm is constructed, aiming to assess its value in evaluating smart city (SC) security. …”
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Genetics, sex and the use of platelet‐rich plasma influence the development of arthrofibrosis after anterior cruciate ligament reconstruction by Mikel Sánchez, Izarbe Yarza, Cristina Jorquera, Jose María Aznar, Leonor López deDicastillo, Cristina Valente, Renato Andrade, João Espregueira‐Mendes, David Celorrio, Beatriz Aizpurua, Juan Azofra, Diego Delgado

“…Female sex was a risk factor in the development of this condition, while the application of PRP provided a preventive effect. …”
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Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm by Manpreet Singh, Jitender Kumar Chhabra

“…The threshold values are optimized using the genetic algorithm (GA). This paper also proposes a GA-based technique to combine multiple features using conjunction (AND) and disjunction (OR) operators while finding threshold values. …”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…Experimental results confirm that our algorithm achieves an mAP of 0.976 and operates at 91.4 FPS, while reducing the number of parameters by 76.6% and floating-point operations by 85.2%. …”
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Hardware-Software Stitching Algorithm in Lightweight Q-Learning System on Chip (SoC) for Shortest Path Optimization by Yahwista Salomo, Infall Syafalni, Nana Sutisna, Trio Adiono

“…The proposed implementation demonstrates significant performance improvements over traditional software approaches, achieving speedups ranging from <inline-formula> <tex-math notation="LaTeX">$84\times $ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$233\times $ </tex-math></inline-formula> for complex maze-solving tasks while maintaining a small footprint. The algorithm, even without the accelerator also achieved speedups ranging from <inline-formula> <tex-math notation="LaTeX">$13\times $ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$36\times $ </tex-math></inline-formula>. …”
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Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing by Fan Shen, Jianyu Chen, Yu Shen, Zhao Gun, Qiankun Zhu

“…The effectiveness of segmentation algorithms influences the results, necessitating the selection of algorithms based on specific scenarios. …”
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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by Rahmat Rizky, Munirul ula, Zara Yunizar

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BioFire FilmArray Meningitis/Encephalitis Panel Utilised for the Unsolved Cases of Meningitis/Encephalitis: A Cross-sectional Study by Bashir Ahmad Fomda, Sanam Rasool Wani, Irfan Ul Haq, Anjum Ara, Gulnaz Bashir, Shugufta Roohi, Sheikh Imtiyaz, Naseer Ahmad Bhat

“…For statistical analysis, continuous variables such as age and gender were interpreted as means or medians, while categorical variables were interpreted as numbers, percentages, and 95% confidence intervals. …”
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Proportional fairness based resource allocation algorithm for dirty-paper coded multi-user MIMO-OFDM systems by ZHAO Yi, LIU Yuan-an, ZENG Ling-kang, XIE Gang, XIONG Fang

“…The new algorithm can guarantee the proportional fairness among users while achieving large system throughput by local search. …”
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Deep reinforced cognitive analytics algorithm (DRCAM): An advanced method to early detection of cognitive skill impairment using deep learning and reinforcement learning by Sunita Patil, Dr. Swetta Kukreja

“…A CNN-LSTM hybrid model is used for mapping spatial and temporal dependencies, and, on the other hand, a Deep Q-Network (DQN) improves while instructing how to perform proper cognitive training. …”
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Advanced Cascaded Scheduling for Highly Autonomous Production Cells with Material Flow and Tool Lifetime Consideration using AGVs by Eddi Miller, Bastian Engelmann, Tobias Kaupp, Jan Schmitt

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Long and short term fault prediction using the VToMe-BiGRU algorithm for electric drive systems by Lihui Zheng, Xu Fan, Zongshan Kang, Xinjun Jin, Wenchao Zheng, Xiaofen Fang

“…Specifically, the VToMe algorithm achieves stable detection of medium to long term system faults, while the BiGRU network achieves rapid fault prediction in the short term. …”
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