Programing mechanics in warp-knitted spacer materials with double inlay-jacquard systems by Zhang Yanting, Zhang Jing, Zhang Aijun, Liu Haisang, Chen Chaoyu, Jiang Gaoming

“…This researched programing method shows great potential in increasing design efficiency and decreasing chemicals consumption in printing.…”
Get full text

Soil Organic Matter (SOM) Mapping in Subtropical Coastal Mountainous Areas Using Multi-Temporal Remote Sensing and the FOI-XGB Model by Hao Zhang, Xiaomei Li, Jinming Sha, Jiangning Ouyang, Zhipeng Fan

“…Current remote sensing inversion of SOM faces challenges, including the underutilization of temporal information and low feature selection efficiency. To address these limitations, this study developed an integrated framework combining multi-temporal Landsat imagery, field-measured SOM data, intelligent feature optimization, and machine learning. …”
Get full text

Decision support systems for waste-to-energy technologies: A systematic literature review of methods and future directions for sustainable implementation in Ghana by Theophilus Frimpong Adu, Lena Dzifa Mensah, Mizpah Ama Dziedzorm Rockson, Francis Kemausuor

“…These tools have demonstrated their effectiveness in handling the complex, multi-faceted nature of WtE technology selection and implementation, addressing issues ranging from site selection to technology ranking based on multiple criteria. …”
Get full text

Key Generation in Cryptography Using Elliptic-Curve Cryptography and Genetic Algorithm by Sanjay Kumar, Deepmala Sharma

“…GAs have proven effective in solving optimization problems by mimicking the principles of natural selection and genetics. The proposed genetic algorithm-based ECC-key generation process involves several stages: chromosome initialization, fitness evaluation, selection, uniform crossover, and mutation. …”
Get full text

Development of Theoretical Approaches to Determination of the Main Groups of Biologically Active Substances of Medicinal Plant Raw Materials by TLC Method by O. V. Trineeva

“…Introduction. As is known, the selection of optimal conditions for the analysis of extracts from medicinal plant raw materials (MPМ), as well as medicinal herbal preparations and pharmaceutical substances of plant origin, characterized by a complex variable composition of biologically active substances (BAS) by TLC, presents certain difficulties. …”
Get full text

Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting by G. H. Harish Nayak, Md. Wasi Alam, B. Samuel Naik, B. S. Varshini, G. Avinash, Rajeev Ranjan Kumar, Mrinmoy Ray, K. N. Singh

“…Abstract Predicting agricultural commodity prices is inherently complex due to factors such as perishability, seasonality, and market volatility. …”
Get full text

Automated System for Evaluating Alternatives for Developing Innovative IT Projects by Iryna Pikh, Vsevolod Senkivskyy, Liubomyr Sikora, Nataliia Lysa, Alona Kudriashova

“…The key result of the research is the created software product that allows one to automate the procedure for selecting the optimal solution for the IT project development process, providing reliable support for simulation modeling and increasing the efficiency of project management. …”
Get full text

Artificial intelligence in geoenergy: bridging petroleum engineering and future-oriented applications by Sungil Kim, Tea-Woo Kim, Suryeom Jo

“…Future research should focus on developing automated, user-independent AI systems to enhance model selection and broaden AI applications across diverse datasets, driving greater efficiency and innovation in the geoenergy sector. …”
Get full text

A critical review of optimizing pollutant removal from refinery wastewater using ozone and nanocatalyst-assisted bubble column reactors by Safiaa M. Mohammed, Khalid A. Sukkar, Ali Abdul Rahman Al-Ezzi, Amjed R. Qarahgouli

“…The treatment of petroleum refinery wastewater remains a critical challenge due to the complex mixture of toxic and persistent contaminants such as hydrocarbons, phenolic compounds, nitrogenous substances, and heavy metals. …”
Get full text

FAEM: Fast Autonomous Exploration for UAV in Large-Scale Unknown Environments Using LiDAR-Based Mapping by Xu Zhang, Jiqiang Wang, Shuwen Wang, Mengfei Wang, Tao Wang, Zhuowen Feng, Shibo Zhu, Enhui Zheng

“…To enhance exploration efficiency in large-scale unknown environments, we propose a Fast Autonomous Exploration Framework (FAEM) designed to enable efficient autonomous exploration and real-time mapping by UAV quadrotors in unknown environments. …”
Get full text

Identification of SSR marker linked to gynoecious loci in cucumber (Cucumis sativus L.) by ZHOU Shengjun, ZHANG Peng, ZHU Yuqiang, CHEN Xinjuan, CHEN Liping

“…The use of molecular markers for indirect selection of important agronomic characters, or marker-assisted selection (MAS) can improve the efficiency of traditional breeding. …”
Get full text

Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…The closed-set object detection algorithms they employ can only perform detections based on fixed categories, which leads to limited recognition scope and weak model generalization ability.Moreover, the tracking algorithms used are unstable and have low computational efficiency. …”
Get full text

Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

“…Overall, the findings reveal the potential of this hybrid approach to advance MRI-based tumor detection, offering a promising tool that enhances both accuracy and computational efficiency for medical imaging and diagnosis.…”
Get full text

Identification of digital clinical decision support systems for supporting diagnosis and triage of patients with shoulder disorders: A scoping review protocol. by Cheyenne R Schamerhorn, Nathaniel M Peñas, Jared R Fletcher, Richard Hayman, Breda H F Eubank

“…Primary care decision-making is complex and has the potential to influence quality of care provided and patient outcomes. …”
Get full text

Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm by Ruirui Zhong, Yixiong Feng, Puyan Li, Xuanyu Wu, Ao Guo, Ansi Zhang, Chuanjiang Li

“…Then, a feature extraction method integrating variational mode decomposition (VMD), L‐cliffs‐based effective mode selection, and sample entropy is devised to extract the latent features from the complex high‐dimensional feature space. …”
Get full text

CAMP: Counterexamples, Abstraction, MDPs, and Policy Refinement for Enhancing Safety, Stability, and Rewards in Reinforcement Learning by Ryeonggu Kwon, Gihwon Kwon

“…The proposed method enhances computational efficiency in complex state spaces through state abstraction and strengthens policy safety by employing the PRISM model checker to quantitatively analyze transitions to failure states. …”
Get full text

Research on Self-Diagnosis and Self-Healing Technologies for Intelligent Fiber Optic Sensing Networks by Ruiqi Zhang, Liang Fan, Dongzhu Lu

“…To address the issue of insufficient reliability of fiber optic sensing networks in complex environments, this study proposes a self-diagnosis and self-healing method based on intelligent algorithms. …”
Get full text

Determination of Nitrate Nitrogen and Nitrite Nitrogen in Brackish and Saline Waters by Flow Injection Analysis by Hongbin SUN, Huiyuan ZANG, Xin ZHANG, Yun ZHU, Lei WANG

“…Among them, chromatography and electrochemistry require expensive and complex instruments or reagent; while spectrophotometry, although using simple equipment, has complex manual operation. …”
Get full text

Hierarchical Reinforcement Learning with Automatic Curriculum Generation for Unmanned Combat Aerial Vehicle Tactical Decision-Making in Autonomous Air Combat by Yang Li, Wenhan Dong, Pin Zhang, Hengang Zhai, Guangqi Li

“…Additionally, the visual analysis of UCAVs’ flight logs validates the learned hierarchical decision-making process, showcasing the interplay between tactical selection and manoeuvring execution. This research provides novel methodologies combining hierarchical reinforcement learning with tactical domain knowledge for the autonomous decision-making of UCAVs in complex air combat scenarios.…”
Get full text

Evaluating the effect of digital elevation model resolution in lahar hazard simulations: insights from the 1877 Cotopaxi scenario, Ecuador by Francisco J. Vasconez, Francisco J. Vasconez, Jeremy C. Phillips, S. Daniel Andrade, Mark J. Woodhouse

“…This work provides a quantitative framework to guide DEM selection, balancing computational efficiency with predictive fidelity in lahar hazard assessment.…”
Get full text