Competitive enzyme linked aptamer based assay for salivary melatonin detection by Meenakshi Pundir, Liubov Lobanova, Petros Papagerakis, Xiongbiao Chen, Silvana Papagerakis

“…However, the traditional methods for detecting melatonin in saliva are either complex or lack the sensitivity required for the accurate assessment of DLMO, especially at low concentrations. …”
Get full text

CFR-YOLO: A Novel Cow Face Detection Network Based on YOLOv7 Improvement by Guohong Gao, Yuxin Ma, Jianping Wang, Zhiyu Li, Yan Wang, Haofan Bai

“…Experiments indicate that the CFR-YOLO model achieves 98.46% accuracy (precision), 97.21% recall (recall), and 96.27% average accuracy (mAP), proving its excellent performance in the field of cow face detection. In addition, comparative analyses with the other four methods show that CFR-YOLO exhibits faster convergence speed while ensuring the same detection accuracy; and its detection accuracy is higher under the condition of the same model convergence speed. …”
Get full text

Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

“…The emergence of different computing methods such as cloud-, fog-, and edge-based Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems for disease detection. …”
Get full text

Advanced Hybrid Machine Learning Model for Accurate Detection of Cardiovascular Disease by Navita, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Kashif Saleem, Ehab Seif Ghith

“…The comparative results prove that the proposed hybrid model scored the highest accuracy of 97.8%, 96.15% sensitivity, and 96.75% specificity and 98.6% ROC_AUC score when compared with the existing techniques and models after applying the SMOTE–ENN (for data balancing) and Chi-square (for feature selection) methods for the efficient detection of cardiovascular disease. …”
Get full text

Multimodal intelligent biosensors framework for fall disease detection and healthcare monitoring by Iqra Aijaz Abro, Shuaa S. Alharbi, Naif S. Alshammari, Asaad Algarni, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…IntroductionIn the field of human action recognition, the fusion of multi-modal data from RGB and inertial modalities provides a valid technique for identifying activities of daily life and falls.MethodsOur approach uses two reference datasets: UR-Fall Detection and UMA_Fall Detection for ADL and Fall Events. …”
Get full text

Pavement Disease Visual Detection by Structure Perception and Feature Attention Network by Bin Lv, Shuo Zhang, Haixia Gong, Hongbo Zhang, Bin Dong, Jianzhu Wang, Cong Du, Jianqing Wu

“…Furthermore, while achieving significant accuracy improvements, the proposed method maintains a similar parameter count as the baseline, preserving its low computational demands and high efficiency, making it suitable for real-time pavement damage detection in energy-constrained environments.…”
Get full text

Neuro-VGNB: Transfer Learning-Based Approach for Detecting Brain Stroke by Muhammad Usama Tanveer, Kashif Munir, Bharati Rathore, Abdulatif Alabdulatif, Rutvij H. Jhaveri, Maham Fatima

“…Remarkably, the Logistic Regression (LR) model yielded a high accuracy score of 99.96% indicating the robustness of our method. Furthermore, we employed k-fold cross-validation to ensure reliable performance assessment and to facilitate state-of-the-art comparisons with existing methods in the literature. …”
Get full text

Knowledge Reasoning- and Progressive Distillation-Integrated Detection of Electrical Construction Violations by Bin Ma, Gang Liang, Yufei Rao, Wei Guo, Wenjie Zheng, Qianming Wang

“…To address the difficulty in detecting workers’ violation behaviors in electric power construction scenarios, this paper proposes an innovative method that integrates knowledge reasoning and progressive multi-level distillation techniques. …”
Get full text

Industrial Image Anomaly Detection via Synthetic-Anomaly Contrastive Distillation by Junxian Li, Mingxing Li, Shucheng Huang, Gang Wang, Xinjing Zhao

“…Industrial image anomaly detection plays a critical role in intelligent manufacturing by automatically identifying defective products through visual inspection. …”
Get full text

An improved deep learning approach for automated detection of multiclass eye diseases by Feudjio Ghislain, Saha Tchinda Beaudelaire, Romain Atangana, Tchiotsop Daniel

“…In this study, we introduce a new lightweight algorithm based on CNNs for the classification of multiple categories of eye diseases, using discrete wavelet transforms to enhance feature extraction. Methods: The proposed approach integrates a simple CNN architecture optimized for multi-class and multi-label classification, with an emphasis on maintaining a compact model size. …”
Get full text

Short-Term Results of Early Detection of Critical Congenital Heart Disease by Julissa Carhuayo-Chura, MD, Felipe E. Terpin-Ayvar, Anthony Bautista-Pariona, MD, J. Pierre Zila-Velasque, MD, Luis S. Velarde-Zegarra, MD, Carmen Davila-Aliaga, MD, Katia Bravo-Jaimes, MD

“…Objectives: The purpose of this study was to evaluate the short-term outcomes of an early CCHD-detection program at the National Maternal Perinatal Institute in Lima, Peru. …”
Get full text

Detecting Sleep Apnea with Smart-tech: Scientific Breakthrough or Overhyped Technology? by Aleksandra Głowacka, Paulina Grzeszczuk, Iwona Skorulska, Agnieszka Kalisz, Marta Ignatiuk-Chilkiewicz, Weronika Grywińska, Julia Kozakiewicz, Kamil Kościelecki, Klaudia Mączewska, Patrycja Długozima

“… Introduction: This review paper seeks to examine the existing knowledge on the underlying mechanisms of sleep apnea, the complexities associated with its diagnosis, and the potential of cutting-edge wearable technology to enhance its detection. Materials and Methods: A comprehensive review of the literature was conducted using the PubMed and Google Scholar databases using the following keywords: “Sleep apnea”, “Sleep disorder”, “Smart-tech”, “Smartwatch”, “Apnea treatment”, “Apnea monitoring”. …”
Get full text

An Efficient Intersection Over Union Algorithm for 3D Object Detection by Sazan Ali Kamal Mohammed, Mohd Zulhakimi Ab Razak, Abdul Hadi Abd Rahman, Maria Abu Bakar

“…Experimental results on the KITTI datasets for 3D object detection achieves 11.5% and 12.7% improvement for SECOND+EIoU test condition as compared SECOND only and at least 8% and 6.9% better than other the state-of-the-art 3D methods for moderate car and pedestrian cases, respectively, which proved that our proposed techniques have significantly improved the precision accuracy of learning and the performance of 3D object detection.…”
Get full text

Universal PCR assays to detect Candida FKS and ERG11 mutations by Dr Yuk Yam Cheung, Mr. Zhi Hao ZHANG, Ms. Wing Yan CHAR, Mr. Tsun Hang FONG, Mr. Chun Yu LI

“…Methods: To achieve this, we developed two universal polymerase chain reaction (PCR) assays: one for detecting FKS mutations and another for ERG11 mutations. …”
Get full text

DCE-YOLOv8: Lightweight and Accurate Object Detection for Drone Vision by Jinsu An, Dong Hee Lee, Muhamad Dwisnanto Putro, Byeong Woo Kim

“…The proposed method is trained using the VisDrone, demonstrating superior detection performance compared to other state-of-the-art methods. …”
Get full text

YOLO-SAATD: An efficient SAR airport and aircraft target detector by Daobin Ma, Zhanhong Lu, Zixuan Dai, Yangyue Wei, Li Yang, Haimiao Hu, Wenqiao Zhang, Dongping Zhang

“…Precision: Wise-IoU loss function is used to optimize bounding box localization and enhance detection accuracy. …”
Get full text

Development of Cellular Assays and Monoclonal Antibodies for Detecting Ferret Cytokine Responses by Ms M Meera Alagu Sundari, Dr Lekshmi Niveditha, Mr Saran Murugan, Ms Kavitha Sethumadhavan, Ms Sreelekshmi Sarasajan Reji, Ms Aishwarya Hatekar, Mr Amal Raj Rajendran, Ms Devi Krishna, Ms Susma Balasubramanian, Mr Akshay Das Valiyathara Rajan, Mr Harshal Srivastava, Dr Debby Van Riel, Dr Rory De Vries, Dr Victor Stalin Raj

“…In this study, we established and optimized various cellular assays for ferrets and developed monoclonal antibodies against ferret IL-2. …”
Get full text

BED-YOLO: An Enhanced YOLOv10n-Based Tomato Leaf Disease Detection Algorithm by Qing Wang, Ning Yan, Yasen Qin, Xuedong Zhang, Xu Li

“…In this paper, we propose an improved tomato leaf disease detection method based on the YOLOv10n algorithm, named BED-YOLO. …”
Get full text

Comparison of Support Vector Machine-Based Techniques for Detection of Bearing Faults by Lijun Wang, Shengfei Ji, Nanyang Ji

Get full text

An Algorithm for Motion Estimation Based on the Interframe Difference Detection Function Model by Tengfei Zhang, Huijuan Kang

“…The interframe bit attitude estimation is optimized by using the beam-parity method to reduce the interframe estimation noise; a global optimization strategy based on the bit attitude map is used in the back end to reduce the system computation amount and make the global bit attitude estimation more accurate; a loop detection based on the word pocket model is added to the system to reduce the cumulative error.…”
Get full text