Class-aware multi-source domain adaptation algorithm for medical image analysis using reweighted matrix matching strategy. by Huiying Zhang, Yongmeng Li, Lei He, Wenbo Zhang, Yuchen Shen, Lumin Xing

“…This algorithm employs a class-aware strategy to strengthen positive transfer effects between similar classes. …”
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Lightweight Anomaly-Based Detection Using Cuckoo Search Algorithm and Decision Tree to Mitigate Man-in-the-Middle Attacks in DNS by Ramahlapane Lerato Moila, Mthulisi Velempini

“…By integrating the Cuckoo Search Algorithm, the scheme minimizes false positives while improving the detection rate. …”
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Optimizing Prescribing for Individuals With Type 2 Diabetes and Chronic Kidney Disease Through the Development and Validation of Algorithms for Community Pharmacists by Jennifer Morris, Marisa Battistella, Karthik Tennankore, Steven Soroka, Cynthia Kendell, Penelope Poyah, Keigan More, Mathew Grandy, Thomas Ransom, Natalie Kennie-Kaulbach, Daniel Rainkie, Jaclyn Tran, Syed Sibte Raza Abidi, Samina Abidi, Nicole Fulford, Heather Neville, Heather Naylor, Lisa Woodill, Andrea Bishop, Glenn Rodrigues, Diane Harpell, Michelle Stewart, Jo-Anne Wilson

“…Patients: The algorithms aim to support individuals with T2D and CKD in primary care by optimizing the resources and capacity of community pharmacists while ensuring safety and quality of care through a team-based approach. …”
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Voxelwise characterization of noise for a clinical photon-counting CT scanner with a model-based iterative reconstruction algorithm by Luigi Masturzo, Patrizio Barca, Luca De Masi, Daniela Marfisi, Antonio Traino, Filippo Cademartiri, Marco Giannelli

“…Conclusion PCD-CT allowed appreciably reducing image noise while improving its spatial uniformity. QIR algorithm decreases image noise without modifying its histogram distribution shape, and partly preserving noise texture. …”
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An Improved PageRank Algorithm Based on Text Similarity Approach for Critical Standards Identification in Complex Standard Citation Networks by Yongchang Wei, Feiteng Yi, Xufeng Cui, Fangyu Chen

“…The algorithm is finally validated using the Chinese environmental health standards through comparison with the traditional PageRank algorithm and different classic measurements.…”
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METAHEURISTIC-AI ENHANCED CUSTOM DEEP LEARNING NETWORK OPTIMIZED WITH SAND CAT SWARM ALGORITHM FOR ORAL CANCER DIAGNOSIS by Vinod Kumar Venkatesan, V Sujatha, Audithan Sivaraman, S Durga Devi, Praveen SR Konduri

“…The CNN architecture is designed to automatically extract discriminative features from images, while the SCSO algorithm fine-tunes crucial hyperparameters such as learning rate, batch size, and dropout rate to enhance model performance. …”
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Dynamic arithmetic optimization algorithm control of distributed generations for demand balancing and enhancing power quality of unbalanced distribution systems by Ahmad Eid, Abdulrahman Alsafrani

“…The PSO and DAOA algorithms optimize the three imbalanced distribution systems at full load and throughout the day. …”
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Comparative Evaluation of Mean Cumulative Regret in Multi-Armed Bandit Algorithms: ETC, UCB, Asymptotically Optimal UCB, and TS by Lei Yicong

“…In this study, four algorithms - Explore-Then-Commit (ETC), the Upper Confidence Bound (UCB), Asymptotically Optimal UCB, and Thompson Sampling Algorithms (TS) – are selected to solve the MAB problem with numerical and categorical types. …”
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A Probabilistic Linguistic Large-Group Emergency Decision-Making Method Based on the Louvain Algorithm and Group Pressure Model by Zhiying Wang, Hanjie Liu, Ruohan Ma

“…To tackle preference conflicts and uncertainty in large-group emergency decision-making (LGEDM), this study proposes a probabilistic linguistic LGEDM method integrating the Louvain algorithm and group pressure model. First, expert weights are determined based on a social trust network, and the Louvain algorithm is employed for expert clustering, reducing the complexity of large-scale decision information. …”
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Prefabricated building construction in materialization phase as catalysts for hotel low-carbon transitions via hybrid computational visualization algorithms by Gangwei Cai, Xiaoting Guo, Yuguang Sun

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A Smart Contract-Based Algorithm for Offline UAV Task Collaboration: A New Solution for Managing Communication Interruptions by Linchao Zhang, Lei Hang, Keke Zu, Yi Wang

“…To address these challenges, this paper proposes an offline task-coordination algorithm based on blockchain smart contracts. This algorithm integrates task allocation, resource scheduling, and coordination strategies directly into smart contracts, allowing UAV swarms to autonomously make decisions and coordinate tasks while offline. …”
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Enhanced Pure Pursuit Path Tracking Algorithm for Mobile Robots Optimized by NSGA-II with High-Precision GNSS Navigation by Xiongwen Jiang, Taiga Kuroiwa, Yu Cao, Linfeng Sun, Haohao Zhang, Takahiro Kawaguchi, Seiji Hashimoto

“…Experimental results demonstrate the effectiveness of the algorithm: with a look–ahead distance of 0.5 and a maximum linear velocity of 3, the average absolute pose error (APE) is reduced by 14.63%, while a velocity of 4 reduces the APE by 55.94%. …”
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Wireless Sensor Network Cluster Head Selection and Short Routing Using Energy Efficient ElectroStatic Discharge Algorithm by G. C. Jagan, P. Jesu Jayarin

“…The proposed electrostatic discharge algorithm (ESDA) enhances network life time while attaining energy efficient full connectivity between sensor nodes. …”
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Optimizing Curriculum Vitae Concordance: A Comparative Examination of Classical Machine Learning Algorithms and Large Language Model Architectures by Mohammed Maree, Wala’a Shehada

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Comparative Analysis of Some Methods and Algorithms for Traffic Optimization in Urban Environments Based on Maximum Flow and Deep Reinforcement Learning by Silvia Baeva, Nikolay Hinov, Plamen Nakov

“…The results show that classical algorithms such as Edmonds–Karp and Dinitz perform stably under deterministic conditions, while Double <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>D</mi><mi>Q</mi><mi>N</mi></mrow></semantics></math></inline-formula> suffers from high variation. …”
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Optimized Error Detection and Correction in ATM Networks Using the Enhanced Berlekamp Massey Algorithm With Hybrid Automatic Repeat Request by Mahmut Aykac

“…The proposed Enhanced Berlekamp Massey Algorithm (EBMA) improves RS error correction by updating only the essential polynomial coefficients. …”
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Phase Retrieval of One-Dimensional Objects by the Multiple-Plane Gerchberg–Saxton Algorithm Implemented into a Digital Signal Processor by Varis Karitans, Maris Ozolinsh, Sergejs Fomins

“…After subtracting the vectors retrieved by the algorithm from those measured with the profiler, the root mean square error decreased, while a corresponding increase in the Strehl ratio was observed. …”
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A Lightweight and Small Sample Bearing Fault Diagnosis Algorithm Based on Probabilistic Decoupling Knowledge Distillation and Meta-Learning by Hao Luo, Tongli Ren, Ying Zhang, Li Zhang

“…Thus, developing a lightweight and suitable fault diagnosis algorithm for small samples is particularly crucial. …”
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Energy optimization in intelligent sensor networks: application of particle swarm optimization algorithm in the deployment of electronic information sensing nodes by Wang Liang

“…The focus is on maximizing the monitored area while minimizing energy usage. A Scalable coverage-based particle swarm optimization (SCPSO) algorithm integrates a probabilistic coverage model based on Euclidean distance to detect coverage gaps and guide the optimal positioning of nodes, ensuring that each target within the region of interest is covered by at least one sensor. …”
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MPPT Efficiency in PV Arrays under Partial Shading Conditions:A Comparative Analysis of PSO and P&O Algorithms by Rachid Bennia, Cherif Larbes, Faiza Belhachat

“…Partial shading (PS) emerges as a particularly critical factor, significantly compromising overall system efficiency by inducing multiple local maxima in the Power-Voltage (P-V) characteristic curve. While conventional tracking algorithms demonstrate adequate performance under uniform irradiation conditions, their effectiveness diminishes substantially under Partial Shading Conditions (PSCs), where they frequently converge to local power peaks rather than the true Global Maximum Power Point (GMPP). …”
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