A New Method for Weak Fault Feature Extraction Based on Improved MED by Junlin Li, Jingsheng Jiang, Xiaohong Fan, Huaqing Wang, Liuyang Song, Wenbin Liu, Jianfeng Yang, Liangchao Chen

“…The method uses the shuffled frog leaping algorithm (SFLA), finds the set of optimal filter coefficients, and eventually avoids the artificial error influence of selecting threshold parameter. …”
Get full text

Development of Mobile Robot-Based Precision 3D Position Measurement System by Pilgong Choi, Jeng-O Kim, Myeongjun Kim, Kyunghan Kim

“…To address the lack of clear reference points in conventional docking blocks, a precisely machined aluminum target block was attached to each block. An algorithm employing Density-Based Spatial Clustering of Applications with Noise (DBSCAN), KD-Tree, and Random Sample Consensus (RANSAC) techniques was used to detect and classify the vertex of the target block from the 3D point cloud data. …”
Get full text

Fast Photon-Counting Imaging With Low Acquisition Time Method by Kangjian Hua, Bo Liu, Zhen Chen, Huachuang Wang, Liang Fang, Jiang Yun

“…Experiment result demonstrates its feasibility and a dynamic target can be clearly captured by the system with our specifically designed reconstruction algorithm. We also detailly investigated the working conditions for the method. …”
Get full text

Hyperparameter Optimization for Tomato Leaf Disease Recognition Based on YOLOv11m by Yong-Suk Lee, Maheshkumar Prakash Patil, Jeong Gyu Kim, Yong Bae Seo, Dong-Hyun Ahn, Gun-Do Kim

“…This model underwent rigorous hyperparameter optimization using the one-factor-at-a-time (OFAT) algorithm, with a focus on essential parameters such as batch size, learning rate, optimizer, weight decay, momentum, dropout, and epochs. …”
Get full text

Image harmonization improves consistency of intra-rater delineations of MS lesions in heterogeneous MRI by Aaron Carass, Danielle Greenman, Blake E. Dewey, Peter A. Calabresi, Jerry L. Prince, Dzung L. Pham

“…These results could lead to better truth models in both the development and evaluation of automated lesion segmentation algorithms.…”
Get full text

Mutual information-based radiomic feature selection with SHAP explainability for breast cancer diagnosis by Oladosu Oyebisi Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan

“…Breast cancer is a prevalent concern for women globally, with misdiagnosis potentially leading to detrimental outcomes. Early detection is crucial, often reliant on medical imaging analysis. …”
Get full text

A Review of Intelligent Orchard Sprayer Technologies: Perception, Control, and System Integration by Minmin Wu, Siyuan Liu, Ziyu Li, Mingxiong Ou, Shiqun Dai, Xiang Dong, Xiaowen Wang, Li Jiang, Weidong Jia

“…By addressing key areas such as sensor technologies, object detection algorithms, and real-time control strategies, this review explores current challenges and future directions for intelligent orchard sprayer technology. …”
Get full text

Neural network-based method for measuring the impacts of epileptic brain activities on cardiac cycles by Cândida H. L. Alves, Gilberto S. Alves, Gilberto S. Alves, Rômulo Kunrath, Mariélia Barbosa L. de Freitas, João Pedro G. Castor, Allan Kardec Barros, Diego Dutra Sampaio, Jonathan Araújo Queiroz

“…The advantage of this approach over heart rate variability analysis is the detection of brain activity before changes in heart rate occur. …”
Get full text

The Emergence of AI-Driven Virtual Hospitals: Redefining Patient Care Beyond Physical Boundaries by Ifrah Hameed, Hafiz Muhammad Haseeb Khaliq

“…This ensures early detection of healthcare disorders followed by interventions thereby enhancing patient safety. …”
Get full text

HuBot: A biomimicking mobile robot for non-disruptive bird behavior study by Lyes Saad Saoud, Loïc Lesobre, Enrico Sorato, Saud Al Qaydi, Yves Hingrat, Lakmal Seneviratne, Irfan Hussain

“…By employing advanced real-time deep-learning algorithms, including YOLOv9 for detection, MobileSAM for segmentation, and vision transformer (ViT) for depth estimation, HuBot semi-autonomously tracks individual birds, providing unprecedented insights into their individual behavior, social interactions, and habitat use. …”
Get full text

A Review on the Security of IoT Networks: From Network Layer’s Perspective by Asma Jahangeer, Sibghat Ullah Bazai, Saad Aslam, Shah Marjan, Muhammad Anas, Sayed Habibullah Hashemi

“…Moreover, we also present a detailed analysis of machine learning-based algorithms and techniques proposed for the security of RPL protocol against internal attacks.…”
Get full text

Method for Ground Penetrating Radar Identification of Intercalated Gangue Layers during Complex Structure Coal Seam Tunneling by Ying Tian, Chunzhi Li, Zihao Wang, Shuo Chen, Fuyan Lyu, Qiang Zhang, Denggao Hu

“…Different forward models based on interlayer gangue distributions were simulated using finite-difference time-domain algorithms. The results showed a linear correlation between the reflection wave amplitude at the air-coal interface and the rock proportion within the radar detection areas. …”
Get full text

Machine learning modeling and analysis of prognostic hub genes in cervical adenocarcinoma: a multi target therapy for enhancement in immunosurveillance by Madiha Jabeen Abbasi, Rashid Abbasi, ShuPeng Wu, Md Belal Bin Heyat, Ding Xianfeng, Huijie Jia, Aiwen Zheng

“…Abstract Endocervical adenocarcinoma (ECA) the fatal and intrusive subtype of cervical carcinoma is on rise from the last decade. Its improper detection leads to worst clinical outcomes that urges the discovery of novel biomarkers. …”
Get full text

Temperature prediction for forging a large S355NL steel flange for offshore wind turbines using neural network and numerical simulation by Yu Chen, Jinfu Zhao, Ling Kong, Jianjun Zhang, Zhixin Huang, Dayong Li, Yuhui Wang

“…This paper investigates the temperature detection and prediction in S355NL large ring forgings during the forging process. …”
Get full text

Automated Parkinson’s Disease Diagnosis Using Decomposition Techniques and Deep Learning for Accurate Gait Analysis by S. Jeba Priya, C. Anand Deva Durai, M. S. P. Subathra, S. Thomas George, Andrew Jeyabose

“…Machine learning (ML) and deep learning (DL) algorithms are widely used to enhance classification accuracy. …”
Get full text

Artificial intelligence based vision transformer application for grading histopathological images of oral epithelial dysplasia: a step towards AI-driven diagnosis by Mahdi Hadilou, Nazanin Mahdavi, Elham Keykha, Ali Ghofrani, Elahe Tahmasebi, Masoud Arabfard

“…Abstract Background This study aimed to classify dysplastic and healthy oral epithelial histopathological images, according to WHO and binary grading systems, using the Vision Transformer (ViT) deep learning algorithm—a state-of-the-art Artificial Intelligence (AI) approach and compare it with established Convolutional Neural Network models (VGG16 and ConvNet). …”
Get full text

Classification of diabetes mellitus disease at Rato Ebuh Hospital-Indonesia using the K-Nearest neighbors method based on missing value by Putro Sigit Susanto, Putra Moh Abdan Syakura, Fatah Doni Abdul, Asmara Yuli Panca, Fauzan Hermawan Bin, Rochman Eka Mala Sari, Rachmad Aeri

“…Therefore, it can be concluded that K-Nearest Neighbor (K-NN) is a suitable algorithm for classifying diabetes mellitus.…”
Get full text

A Novel Authentication Management for the Data Security of Smart Grid by Imtiaz Parvez, Maryamossadat Aghili, Hugo Riggs, Aditya Sundararajan, Arif I. Sarwat, Anurag K. Srivastava

“…The second layer monitors and verifies exchanged data packets among smart meters. It detects abnormal packets from suspicious sources. …”
Get full text

SankeyNetwork: A clear and concise visualization tool for bibliometric data by Sher-Wei Lim, Willy Chou, Lifan Chen

“…Analyzing 2252 articles published in the Journal of METHODSX (2020–2024), the study focuses on ten essential metadata elements commonly used in bibliometric evaluations, including country, institution, department, authorship, and keywords.Three complementary approaches are introduced: (1) a summarized performance sheet to present key metrics across entities, (2) Sankey diagrams for streamlined cluster visualization using the Following-Leading Clustering Algorithm (FLCA), and (3) slope graphs to track temporal trends and research bursts.Findings highlight the dominance of the United States, Symbiosis International in India, and author Fengxiang X Han, with the keyword “MODEL” emerging as most frequent. …”
Get full text

Feasibility Assessment of Using Smart Trackers in Telemedicine Systems to Remotely Monitor the Overall Health of Patients in Real-Time by I. V. Pospelova, I. V. Cherepanova, D. S. Bragin, V. N. Serebryakova

“…In order to avoid the high error in measuring systolic pressure, an algorithm for assessing the general health of patients was developed. …”
Get full text