SDGTrack: A Multi-Target Tracking Method for Pigs in Multiple Farming Scenarios by Tao Liu, Dengfei Jie, Junwei Zhuang, Dehui Zhang, Jincheng He

“…In pig farming, multi-object tracking (MOT) algorithms are effective tools for identifying individual pigs and monitoring their health, which enhances management efficiency and intelligence. …”
Get full text

A Hardware Architecture of a Dynamic Ranking Packet Scheduler for Programmable Network Devices by Mostafa Elbediwy, Bill Pontikakis, Jean-Pierre David, Yvon Savaria

“…With the aid of a re-ranking mechanism, the DR-PIFO offers a flexible and expressive solution for a wide range of scheduling algorithms while still meeting line rate requirements. …”
Get full text

Development of a host-signature-based machine learning model to diagnose bacterial and viral infections in febrile children by Fang Bai, Zelong Gong, Dong Cui, Xiaomei Zhang, Wenteng Hong, Yi Gao, Kai Lin, Weijie Chen, Lu Li, Juan Huang, Biying Zheng, Junfa Xu, Na Xiao

“…Subsequently, L1 regularization algorithms and variable significance analysis (multilayer perceptron) were used to simplify and rank the predictive features, and LCN2 (100.0%), IFI27 (84.4%), SLPI (63.2%), IFIT2 (44.6%) and PI3 (44.5%) were identified as the top predictors. …”
Get full text

Multifunctional Design Ratios for Calculating Power Losses and Energy Efficiency of Long-Distance Electricity Transmission by G. E. Pospelov, Т. G. Pospelova

“…The ratios permit to construct algorithms while designing, pricing at wholesale electricity market and can be used in the training process.…”
Get full text

Does the implementation of Automatic Individual Tree Crown Delineation (ITCD) impact the early detection of bark beetle (BB) infestation in Norway spruce forests? by S. Bijou, L. Kupková, L. Červená, J. Lysák

“…Treetop detection was performed using local maxima filtering, while four ITCD algorithms: Buffer, Marker-Controlled Watershed Segmentation, thiessen polygons, and seeded region growing, were used for crown delineation. …”
Get full text

The Analysis of Complex Networks with Dynamic Graph Visualization by S. N. Pupyrev, A. V. Tikhonov

“…Our method builds layouts for a sequence of graphs, while preserving the mental map. We show how to modify force-directed algorithms for the dynamic graphs. …”
Get full text

Mathematical modeling of hydrodynamic processes in the liquid nucleus of an ingot by Yu. A. Samojlovich, V. I. Timoshpolsky, I. A. Trusova, Yu. V. Djachenko, I. L. Numeranova

“…These models can be used while choosing rational parameters of CMEM machines and for development of continuous filling process control algorithms.…”
Get full text

INTELLIGENT DECISION SUPPORT ON FOREX by V. A. Rybak, H. M. Sulaiman

“…A new technology of intelligent decision support on Forex, including forming algorithms of trading signals, rules for the training sample based on technical indicators, which have the highest correlation with the price, the method of reducing the number of losing trades, is proposed. …”
Get full text

Quantum frequency resampling by Emanuele Tumbiolo, Simone Roncallo, Chiara Macchiavello, Lorenzo Maccone

“…Abstract In signal processing, resampling algorithms can modify the number of resources encoding a collection of data points. …”
Get full text

A brief survey of line search methods for optimization problems by Audu Umar Omesa, Sulaiman Mohammed Ibrahim, Rabiu Bashir Yunus, Issam A.R. Moghrabi, Muhammad Y. Waziri, Aceng Sambas

“…An important component that ensures the success of various iterative algorithms is the search direction (dk) while the step-size (αk) ensures global convergence in different schemes. …”
Get full text

Operational Investigation of Overhead Crane with Fuzzy Logic Anti-Swing Controller Using 3-D Simulation by Y. N. Petrenko, S. E. Alavi, S. V. Aleksandrovsky

“…The paper presents a developed three-dimensional simulation model of a bridge crane with fuzzy logic controller designed with application of genetic algorithms. Comparative indices of oscillation while load transferring are given in the paper. …”
Get full text

Acute Coronary Syndrome in Patients With 2 Type Diabetes Mellitus (Review of Literature; Description of the Clinical Case) by Bilous Z., Abrahamovych О., Mazur N., Ryabokon S., Ilenkiv N., Bevza N.

“…ACS in patients with diabetes mellitus often occurs with less severe pain syndrome (often complete absence of typical pain syndrome), shortness of breath while walking, palpitations. The frequency of asymptomatic ischemia is 2.0-4.0 % in the general population of patients with type 2 diabetes mellitus and in 30.0-50.0 % of patients with type 2 diabetes mellitus with ischemic heart disease. …”
Get full text

Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validation by Guiling Wu, Guiling Wu, Sihui Wu, Sihui Wu, Tian Xiong, Tian Xiong, Tian Xiong, You Yao, You Yao, Yu Qiu, Yu Qiu, Yu Qiu, Liheng Meng, Cuihong Chen, Xi Yang, Xi Yang, Xi Yang, Xinghuan Liang, Yingfen Qin

“…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …”
Get full text

Review on artificial intelligence chip technology system by Yuxia SHI

“…Artificial intelligence technology is the new focus of current countries.The development of artificial intelligence technology has put forward new requirements for computing chips.Deep learning algorithms require the training of massive data,while traditional computing architectures can’t support the large-scale computing requirements of deep learning algorithms.Therefore,artificial intelligence chips of new architectures emerge one after another.The different technical routes of artificial intelligence chips were analyzed,the characteristics of different routes were compared,the development trend of artificial intelligence chip industry and studied,the opportunities and challenges of artificial intelligence chip development in China were analyzed,and the future development of artificial intelligence chip technology was forecasted.…”
Get full text

Refreshable memristor via dynamic allocation of ferro-ionic phase for neural reuse by Jiangang Chen, Zhixing Wen, Fan Yang, Renji Bian, Qirui Zhang, Er Pan, Yuelei Zeng, Xiao Luo, Qing Liu, Liang-Jian Deng, Fucai Liu

“…By implementing neural reuse, the classification accuracy of neuromorphic hardware can improve by 17%, while the consumption is reduced by 40%; in multi-task scenarios, its training speed is accelerated by 2200%, while its generalization ability is enhanced by 21%. …”
Get full text

Recreation of architectural structures using procedural modeling based on volumes by Santiago Barroso Juan, Gustavo Patow

“…While the procedural modeling of buildings and other architectural structures has evolved very significantly in recent years, there is noticeable absence of high-level tools that allow a designer, an artist or an historian, creating important buildings or architectonic structures in a particular city. …”
Get full text

Wearable AI to enhance patient safety and clinical decision-making by Arjun Mahajan, Kimia Heydari, Dylan Powell

“…These systems go beyond traditional data collection, using advanced algorithms to provide real-time clinical guidance. From infectious disease monitoring to AI-powered surgical assistance, these technologies enable proactive, personalized care while addressing critical safety gaps. …”
Get full text

Advances in Aircraft Skin Defect Detection Using Computer Vision: A Survey and Comparison of YOLOv9 and RT-DETR Performance by Nutchanon Suvittawat, Christian Kurniawan, Jetanat Datephanyawat, Jordan Tay, Zhihao Liu, De Wen Soh, Nuno Antunes Ribeiro

“…This paper reviews the current state of computer vision algorithms and their application in aircraft defect detection, synthesizing insights from academic research (21 publications) and industry projects (18 initiatives). …”
Get full text

LH-YOLO: A Lightweight and High-Precision SAR Ship Detection Model Based on the Improved YOLOv8n by Qi Cao, Hang Chen, Shang Wang, Yongqiang Wang, Haisheng Fu, Zhenjiao Chen, Feng Liang

“…However, detecting multi-scale ship targets in complex backgrounds leads to issues of false positives and missed detections, posing challenges for lightweight and high-precision algorithms. There is an urgent need to improve accuracy of algorithms and their deployability. …”
Get full text

Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK by Saoudi CE Nouis, Victoria Uren, Srushti Jariwala

“…Abstract Background While artificial intelligence (AI) has emerged as a powerful tool for enhancing diagnostic accuracy and streamlining workflows, key ethical questions remain insufficiently explored—particularly around accountability, transparency, and bias. …”
Get full text