A Deep Learning Approach for Fault Detection and Localization in MT-VSC-HVDC System Utilizing Wavelet Scattering Transform by Manohar Mishra, Debadatta Amaresh Gadanayak, Abha Pragati, Jai Govind Singh

“…The approach integrates the wavelet scattering transform (WST) to extract low-variance feature vectors and a newly developed variable batch size long-short-term-memory (VB-LSTM) network for accurate fault detection. …”
Get full text

Multi-Modal Dynamic Fusion for Defect Detection in Electronic Products: A Novel Approach Based on Energy and Deep Learning by Yulin Liu, Yang Gao

“…To address these shortcomings, this study introduces a dynamic multi-modal fusion framework that leverages data from sensors, visual imagery, and component attributes to enhance detection performance. Specifically, Transformer architectures are employed for sensor data analysis, Convolutional Neural Networks (CNNs) are applied to process image data, and Multi-Layer Perceptrons (MLPs) are used to represent part-level features. …”
Get full text

KERF: a knowledge-enhanced relearning framework for tailings pond detection from high-resolution remote sensing images by Bingjie Liu, Wei Wu, Hao Wu, Ailong Ma, Shaohua Hu, Nianchun Du, Xuan Cui, Junyang Xie

Get full text

SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence by Umaa Mahesswari G, Uma Maheswari P

“…Moreover, to identify essential features for PCOS prediction three feature selection methods: Threshold-driven Optimized Principal Component Analysis (TOPCA), Optimized Salp Swarm (OSSM), and Threshold-driven Optimized Mutual Information Method (TOMIM) were fine-tuned through thresholding and improvisation to detect diverse attribute sets with varying numbers and combinations. …”
Get full text

Prediction of Synchronous Serum CEA Expression Status Based on Baseline MRI Features of Primary Rectal Cancer Lesions Pre-treatment: A Retrospective Study by Baohua Lv, Donghai Li, Jizheng Li, Kai Shang, Ke Wu, Erhu Jin, Xiujuan Li

“…The nomogram’s discriminative ability and clinical utility were tested using the receiver operating characteristic (ROC) curve, and decision curve analysis (DCA). The baseline CEA high-expression group had significantly higher MRI-detected metastatic lymph node (mLN), MRI-detected extramural vascular invasion (mEMVI), infiltrating tumor border configuration (iTBC), peritoneal invasion, annular infiltration, maximum extramural depth (MED), and tumor length than the normal CEA group (P < 0.05). …”
Get full text

Multi-frequency EEG and multi-functional connectivity graph convolutional network based detection method of patients with Alzheimer’s disease by Yujian Liu, Libing An, Haiqiang Yang, Shuzhi Sam Ge

“…By leveraging a multi-dimensional feature extraction and fusion strategy, the model effectively identifies EEG pattern changes associated with AD, enhancing detection accuracy. …”
Get full text

Advancing diabetic retinopathy diagnosis with fundus imaging: A comprehensive survey of computer-aided detection, grading and classification methods by S. Prathibha, Siddappaji

“…Our exhaustive review indicates that most existing methodologies predominantly concentrate on isolated diabetic retinopathy types, employing localized spatiotextural feature analysis for classification. Such specificity often results in limited accuracy and generalizability, restricting practical real-world application. …”
Get full text

Fusion-Based Deep Learning Approach for Renal Cell Carcinoma Subtype Detection Using Multi-Phasic MRI Data by Gulhan Kilicarslan, Dilber Cetintas, Taner Tuncer, Muhammed Yildirim

Get full text

Trait-focused low-cost and stereo-based 3D plant modeling for phenotyping via deep neural detection by M. Wattad, S. Filin

“…To facilitate the reconstruction, we adapt an anchor-free detection deep neural network and integrate low- and high-level features to accurately detect our plant traits of interest. …”
Get full text

Optimizing ML models for cybercrime detection: balancing performance, energy consumption, and carbon footprint through multi-objective optimization by Romil Rawat

Get full text

Detecting Serbia’s Settlement Patterns: A Fuzzy Logic-Based Approach to Rural–Urban Area Delimitation for Spatial Planning by Aleksandra Gajić Protić, Nikola Krunić, Branko Protić

“…In addition, such an approach detects settlements that have functional significance in the settlement system. …”
Get full text

Concurrent papillary thyroid carcinoma and incidental cervical lymph node indolent B cell non-Hodgkin lymphoma: clinicopathological features, outcomes, and potential relationships by Yanhui Zhang, Yanyan Song, Runfen Cheng, Qiongli Zhai

“…Methods A retrospective analysis was conducted on patients who underwent thyroid lobectomy and were diagnosed with PTC and incidental CLN-B-NHL based on final pathological assessments at a single cancer center from 2015 to 2018. …”
Get full text

Design of a novel noise resilient algorithm for fault detection in wind turbines on supervisory control and data acquisition system by Muhammad Irfan, Nabeel Ahmed Khan, Muhammad Abubakar, Zohaib Mushtaq, Tomasz Jakubowski, Paweł Sokołowski, Grzegorz Nawalany, Saifur Rahman

“…Seasonal discrepancies in power generation are analyzed using theoretical and actual power analysis. Further, distributions of features are realized via kernel density estimation and efficiency metrics in order to identify performance inefficiencies. …”
Get full text

Opportunities and Challenges Surrounding the Use of Wearable Sensor Bracelets for Infectious Disease Detection During Hajj: Qualitative Interview Study by Noha Maddah, Arpana Verma, John Ainsworth

“…Semistructured in-depth interviews were used to capture perspectives on using wearable sensor bracelets for infectious disease detection during hajj. Thematic analysis of interview transcripts was conducted. …”
Get full text

Advanced object detection for smart accessibility: a Yolov10 with marine predator algorithm to aid visually challenged people by Mahir Mohammed Sharif Adam, Hussah Nasser AlEisa, Samah Al Zanin, Radwa Marzouk

“…They face problems with such actions and object detection should be an essential feature they can rely on a regular basis. …”
Get full text

“Detection and characterization of fractures in the Eocene Thebes formation using conventional well logs in October field, Gulf of Suez, Egypt” by M. Gamal, A.A. El-Araby, A.N. El-Barkooky, Alaa Hassan

“…Despite their necessity, detecting and characterizing natural fractures still represents a difficult challenge. …”
Get full text

Modeling of potential field data for detecting structural and tectonic framework of Esh El Mellaha area, Red Sea, Egypt by Abdelbaset M. Abudeif, Zakaria Hamimi, Gaber M. Gaber, Adel Kotb, Nasir Alarifi, Stefano Bellucci, Marwa M. Masoud

Get full text

Enhanced Ground Fissure Detection in Mining Areas Based on Visible&#x2013;Infrared Image Fusion and YOLOv5 by Yixin Zhao, Liangchen Zhao, Jihong Guo, Kangning Zhang, Chunwei Ling, Shirui Wang, Hua Bian

“…This article proposes FisFusionYOLO, a novel method that integrates visible&#x2013;infrared image fusion with a YOLOv5 deep learning network to enhance fissure detection accuracy and efficiency. By combining complementary information from visible and infrared images, the fusion strategy improves the representation of fissure features, which are then processed by the YOLOv5 network for precise and efficient object detection. …”
Get full text

Early detection of vascular catheter-associated infections employing supervised machine learning - a case study in Lleida region by Radu Spaimoc, Jordi Mateo, Francesc Solsona, Alfredo Jover-Sáenz, Fernando Barcenilla, María Ramírez-Hidalgo, Marcos Serrano, Miquel Mesas, Dídac Florensa

“…This study highlights that strategic feature engineering with the GB classifier is sufficient to obtain robust VCAI detection before the appearance of a probable sepsis.…”
Get full text

Detection of Photovoltaic Arrays in High-Spatial-Resolution Remote Sensing Images Using a Weight-Adaptive YOLO Model by Zhumao Lu, Xiaokai Meng, Jinsong Li, Hua Yu, Shuai Wang, Zeng Qu, Jiayun Wang

“…Comparative analysis reveals that the optimized model reduces the error rate for small object detection in black-and-white imagery and complex scenarios by 19.8% compared to the baseline model. …”
Get full text