Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data by ShiJie Zhang, Chuxin Sima, TaiFu Hou

“…The complex q-rung orthopair fuzzy set (C-qROFS) is a prevailing tool for managing ambiguity by combining satisfactory, dissatisfactory, and complex phase data. …”
Get full text

BiSeNeXt: a yam leaf and disease segmentation method based on an improved BiSeNetV2 in complex scenes by Bibo Lu, Yanjun Lu, Di Liang, Jie Yang

“…Additionally, the FLOPs and total number of parameters of the proposed method require only 11.81% and 7.81% of DeepLabV3+, respectively.DiscussionTherefore, the proposed method can efficiently and accurately extract yam leaf spots in complex scenes, providing a solid foundation for analyzing yam leaves and diseases.…”
Get full text

Hybrid Framework To Exclude Similar and Faulty Test Cases In Regression Testing by Muhammad Asim Siddique, Wan M.N. Wan-Kadir, Johanna Ahmad, Noraini Ibrahim

Get full text

Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging by Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat

“…To simplify the analysis and reduce computational complexity, a subset of key spectral wavelengths was selected using a successive projection algorithm. …”
Get full text

A reagent-free, fouling-resistant electrochemical multifunctional peptide sensor for highly sensitive and rapid detection of Alzheimer's disease biomarkers by Yajing Ji, Xueqin Li, Xiumin Li, Xiaochun Hu, Wei Cong, Honggang Hu, Siyao Liu, Yan Chen

“…This study presents a novel, efficient, and rapid strategy for detecting Aβ aggregates in human serum without complex pre-processing and provides practical support for the early clinical diagnosis of AD.…”
Get full text

Who should be included in first-in-human trials? A systematic review of reasons by Lieke van Kempen, Martine C. de Vries, Eelco J. P. de Koning, Nienke de Graeff

“…These reasons relate to six themes: non-maleficence, beneficence, scientific value, efficiency, respect for persons, and justice. This review highlights multiple challenges in the existing literature, including ambiguous or poorly defined reasons and unspecified use of moral theory, framework, or method, the use of beneficence as an important theme for including participants in FIH trials, and the complexity of identifying and defining vulnerable populations. …”
Get full text

An ensemble agglomerative hierarchical clustering algorithm based on clusters clustering technique and the novel similarity measurement by Teng Li, Amin Rezaeipanah, ElSayed M. Tag El Din

“…Hierarchical Clustering (HC) is recognized as an efficient unsupervised approach to unlabeled data analysis. …”
Get full text

An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

Get full text

Evaluating the Performance of Machine Learning Classifiers for Network Intrusion Detection: A Comparative Study Using the UNSW-NB15 Dataset by Iwan Handoyo Putro

“…It is because of their growing adoption and complexity of cyber-attacks. Therefore, protecting network infrastructures and identifying malicious behavior becomes a necessity. …”
Get full text

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

“…While histopathological image analysis plays a key role in breast cancer diagnosis, the complexity and heterogeneity of these images present significant challenges. …”
Get full text

A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning by Yueyun Yu, Xin Huang, Danjv Lv, Benjamin K. Ng, Chan-Tong Lam

“…This study proposes a novel near-infrared (NIR) spectral feature selection algorithm, termed the improved binary equilibrium optimizer with selection probability (IBiEO-SP), which incorporates a dynamic probability adjustment mechanism to achieve efficient feature dimensionality reduction. …”
Get full text

An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks by Louai A. Maghrabi, Alanoud Subahi, Nouf Atiahallah Alghanmi, Turki Althaqafi, Nahla J. Abid, Nasser N. Albogami, Mahmoud Ragab

“…Abstract As cyberattacks become more advanced, conventional centralized threat intelligence models often fail to keep up with these threats’ growing complexity and frequency, highlighting the requirement for innovative approaches to strengthen cybersecurity resilience. …”
Get full text

City Logistics Solutions for CO₂ Emission Reduction and Energy Efficiency: A Comparative Study of Vitoria-Gasteiz, Tartu, and Sønderborg by Joanna Rut, Wiktoria Dziki, Ryszard Beniak, Michal Podpora, Arkadiusz Gardecki, Bartlomiej Klin

“…In a time of continuous urbanization, with more than half of the world’s population living in cities, city logistics plays a crucial role in managing complex urban environments. As part of the concept of sustainable development, city logistics aims to minimize the negative impact of transport on the environment, while increasing operational efficiency and improving the comfort of life of residents in urban agglomerations. …”
Get full text

Construction of 2D TiO₂@MoS₂ Heterojunction Nanosheets for Efficient Toluene Gas Detection by Dehui Wang, Jinwu Hu, Hui Xu, Ding Wang, Guisheng Li

“…Monitoring trace toluene exposure is critical for early-stage lung cancer screening via breath analysis, yet conventional chemiresistive sensors face fundamental limitations, including compromised selectivity in complex VOC matrices and humidity-induced signal drift, with prevailing p–n heterojunction architectures suffering from inherent charge recombination and environmental instability. …”
Get full text

Efficiently Learning an Encoder That Classifies Token Replacements and Masked Permuted Network-Based BIGRU Attention Classifier for Enhancing Sentiment Classification of Scientific... by Muhammad Inaam Ul Haq, Khalid Mahmood, Qianmu Li, Ashok Kumar Das, Sachin Shetty, Majid Hussain

Get full text

Tailoring Borate Mediator Species Enables Industrial CO Production with Improved Overall Energy Efficiency by Sustainable Molten Salt CO2 Electrolysis by Xinyu Li, Bowen Deng, Kaifa Du, Wenmiao Li, Di Chen, Xin Qu, Fangzhao Pang, Xiaodan Zhang, Hao Zha, Huayi Yin, Dihua Wang

“…In this study, a borate‐enhanced molten salt process for CO2 capture and electrochemical transformation is employed, achieving over 98% selectivity for CO and over 55% energy efficiency without the necessity for complex and costly electrocatalysts. …”
Get full text

Highly efficient CRISPR/Cas9-RNP mediated CaPAD1 editing in protoplasts of three pepper (Capsicum annuum L.) cultivars by Hanyi Choi, Hyunjae Shin, Chan Yong Kim, Jeongbin Park, Hyeran Kim

“…We selected two sgRNAs, sgRNA2 and sgRNA5, which had high in vivo target efficiencies for the CaPAD1 gene across the three cultivars and were validated as potential off-targets in their genomes. …”
Get full text

Empirical analysis of control models for different converter topologies from a statistical perspective by Hole Shreyas Rajendra

“…Converter topologies including SEPIC, ZETA, etc. are controlled via selection of capacitive and inductive components, which assists in improving its conversion efficiency for different type of loads. …”
Get full text

Energy Distribution Optimization in Heterogeneous Networks with Min–Max and Local Constraints as Support of Ambient Intelligence by Alessandro Aloisio, Domenico D. Bloisi, Marco Romano, Cosimo Vinci

“…The approach centers on selecting the most appropriate communication protocols, such as Wi-Fi, Bluetooth, or 5G, to connect devices. …”
Get full text

Optimal Planning of Wind-Based DG: A Two-Stage Approach Linking Penetration Factor, Turbine Type Selection, Capacity, and Power Factors to Minimize Line Losses by Sina Saboktakin, Tarek Medalel Masaud, Ehab F. El-Saadany

“…By aligning turbine type selection with the available wind resources at the site, the model maximizes energy production and operational efficiency. …”
Get full text