DRaCOon: a novel algorithm for pathway-level differential co-expression analysis in transcriptomics by Fernando M. Delgado-Chaves, Ferdinand Spurny, Tanja Laske, Mhaned Oubounyt, Jan Baumbach

“…However, a key challenge is the lack of robust methods and benchmarks specifically for evaluating algorithms’ ability to identify disrupted gene-gene associations across conditions. …”
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A Novel Loss Minimization Algorithm for the 3-Port Converter in a Multi-Subgrid Microgrid by Rajarshi Basu, Mahesh Kumar Mishra

“…To address this issue, this paper presents a novel loss minimization algorithm for the 3-port converter. A comprehensive power loss model is developed, accounting for both conduction and switching losses, which is used to develop the objective function. …”
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A algorithm for low light image enhancement in coal mine underground based on illumination constraints by Yuchen BAI, Zuohua MIAO, Houyou XU, Mengting WANG

“…Experiments were conducted in four different scenarios, comparing this algorithm against TBEFN, RUAS, MBLLEN, KinD, and Retinex-Net algorithms. …”
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Investigating the Performance of Open-Vocabulary Classification Algorithms for Pathway and Surface Material Detection in Urban Environments by Kauê de Moraes Vestena, Silvana Phillipi Camboim, Maria Antonia Brovelli, Daniel Rodrigues dos Santos

“…Our findings highlight both the potential and limitations of current open-vocabulary algorithms and emphasize the importance of diverse training datasets. …”
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An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis by Hao Yan, Liangliang Shang, Wan Chen, Mengyao Jiang, Tianqi lu, Fei Li

“…The hybrid kernel functions address the limitations of single kernel functions by effectively capturing both linear and nonlinear patterns in the data. Subsequently, the hierarchical hybrid kernel extreme learning machine (HHKELM) is refined through an enhanced Aquila Optimizer (AO) algorithm, which iteratively optimizes the kernel hyperparameter combination. …”
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Data-Driven Optimization for Low-Carbon Prefabricated Components Production Based on Ant Colony Algorithms by Chun-Ling Ho, Chien-Chih Wang, Shenjun Qi, Zichen Zhang

“…Utilizing ant colony algorithms, the model aims to minimize costs while adhering to low-carbon principles and fostering the sustainable development of prefabricated buildings. …”
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Improved Low-Light Image Feature Matching Algorithm Based on the SuperGlue Net Model by Fengchao Li, Yu Chen, Qunshan Shi, Ge Shi, Hongding Yang, Jiaming Na

“…The SuperGlue algorithm, which integrates deep learning theory with the SuperPoint feature extraction operator and addresses the matching problem using the classical Sinkhorn method, has significantly enhanced matching efficiency and become a prominent research focus. …”
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Heating Load Prediction with Meta-Heuristic ‎Algorithms and Adaptive Neuro-Fuzzy ‎Inference System Integration by Seyed Hadi Seyed Hatami, Reza Seifi Majdar

“…Accurate forecasting of energy demands, combined with detailed studies on renovation possibilities, is essential in building management and is becoming increasingly important in both research and practical applications. Addressing this need, this study adopts a holistic ap-proach by integrating advanced optimization algorithms with precise heating load prediction techniques. …”
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Early Identification of Skin Cancer Using Region Growing Technique and a Deep Learning Algorithm by Suhendro Y. Irianto, Ryan Yunandar, M. S. Hasibuan, Deshinta Arrova Dewi, Nualyai Pitsachart

“…Skin cancer, comprising both melanoma and non-melanoma forms, is a significant public health concern, constituting approximately 5.9% to 7.8% of annual cancer diagnoses. …”
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Use of a Ray-Based Reconstruction Algorithm to Accurately Quantify Preclinical MicroSPECT Images by Bert Vandeghinste, Roel Van Holen, Christian Vanhove, Filip De Vos, Stefaan Vandenberghe, Steven Staelens

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An Optimized Core Distribution Adaptive Topology Reconfiguration Algorithm for NoC-Based Embedded Systems by Bowen Hou, Dali Xu, Fangfa Fu, Bing Yang, Na Niu

“…Additionally, the average recovery time of our algorithm is reduced by 98.60% compared with BTTR and by 15.87% compared with BSTR, significantly improving both the performance and reliability in embedded systems.…”
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Optimization of a Nuclear–CSP Hybrid Energy System Through Multi-Objective Evolutionary Algorithms by Chenxiao Ji, Xueying Nie, Shichao Chen, Maosong Cheng, Zhimin Dai

“…The nondominated sorting genetic algorithm II (NSGA-II) is applied to minimize both the deficiency of power supply probability (DPSP) and the levelized cost of energy (LCOE). …”
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OPTIMIZING HEART ATTACK DIAGNOSIS USING RANDOM FOREST WITH BAT ALGORITHM AND GREEDY CROSSOVER TECHNIQUE by Safrizal Ardana Ardiyansa, Natasha Clarissa Maharani, Syaiful Anam, Eric Julianto

“…Swift and accurate diagnosis of heart attacks is crucial to ensure timely and specialized intervention for patients afflicted by this ailment. A machine learning algorithm that can be employed for addressing such issues is the Random Forest algorithm. …”
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Design and Optimization of Optical NAND and NOR Gates Using Photonic Crystals and the ML-FOLD Algorithm by Alireza Mohammadi, Fariborz Parandin, Pouya Karami, Saeed Olyaee

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Predictive Modeling of Credit Card Rejection Using Machine Learning Algorithms: A Comparative Study by Shengyu Gu

“…The investigation also involves optimization methodologies such as Pelican Optimization Algorithm (POA), Coot Optimization Algorithm (COA), and Chimp Optimization Algorithm (CHOA). …”
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A Column-Generation-Based Exact Algorithm to Solve the Full-Truckload Vehicle-Routing Problem by Toygar Emre, Rizvan Erol

“…Regarding the acquisition of integral solutions in the exact algorithm, both dynamic and static sets of valid inequalities are incorporated. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…Comparative visual detection results with the baseline YOLOv7-tiny show that the proposed algorithm significantly improves the identification of multi-scale small targets and reduces both missed and false detections.…”
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Application of Hybrid Algorithm Based on Ant Colony Optimization and Sparrow Search in UAV Path Planning by Yangyang Tian, Jiaxiang Zhang, Qi Wang, Shanfeng Liu, Zhimin Guo, Huanlong Zhang

“…Through simulation tests on large-scale TSP problems and practical applications, we find that the hybrid ant colony algorithm outperforms the ant colony algorithm in both accuracy and running time. …”
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Evaluation of TOPSIS Algorithm for Multi-Criteria Handover in LEO Satellite Networks: A Sensitivity Analysis by Pascal Buhinyori Ngango, Marie-Line Lufua Binda, Michel Matalatala Tamasala, Pierre Sedi Nzakuna, Vincenzo Paciello, Angelo Kuti Lusala

“…The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is widely recognized as an effective multi-criteria decision-making algorithm for handover management in terrestrial cellular networks, especially in scenarios involving dynamic and multi-faceted criteria. …”
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Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

“…This review provides the latest implementation of ML in QA along with quantitative evidence on which algorithm offers the most optimization in specific industrial settings, which would help in algorithm selection in manufacturing quality assurance in future for both researchers and industrial experts. …”
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