Optimization of Video Heart Rate Detection Based on Improved SSA Algorithm by Chengcheng Duan, Xiangyang Liang, Fei Dai

“…Overall, the experiments indicate that the proposed method significantly improves the effectiveness and accuracy of heart rate detection, achieving a high level of consistency with existing contact-based detection methods.…”
Get full text

Gas sensors and real-time video for accurate classroom occupancy detection by Koundinya Challa, Issa W. AlHmoud, Chandra Jaiswal, Balakrishna Gokaraju, Raymond Tesireo

“…This study introduces an advanced methodology for optimizing HVAC efficiency through real-time classroom occupancy detection by combining video analysis with gas sensor data to enhance accuracy and reliability. …”
Get full text

Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm by Mohammad Naebi, Eshaghali Saberi, Sirous Risbaf Fakour, Ahmad Naebi, Somayeh Hosseini Tabatabaei, Somayeh Ansari Moghadam, Elham Bozorgmehr, Nasim Davtalab Behnam, Hamidreza Azimi

“…In this paper, we have introduced one intelligent method for detection using particle swarm optimization (PSO) and our mathematical formulation. …”
Get full text

Non-contact physiological parameter detection based on the crested porcupine optimization by Jianli Pang, Anxue Huang, Qijie Xu, Lanfang Pang

“…The approach addresses limitations of traditional contact-based methods by leveraging radar technology to detect subtle movements caused by breathing and heartbeat, offering a user-friendly solution for applications in healthcare, smart homes, and emergency rescue.The methodology involves preprocessing radar signals to extract phase information, followed by optimization of Variational Mode Decomposition (VMD) using the Crested Porcupine Optimization (CPO) algorithm. …”
Get full text

Non-Destructive Detection of Silage pH Based on Colorimetric Sensor Array Using Extended Color Components and Novel Sensitive Dye Screening Method by Kai Zhao, Haiqing Tian, Jue Zhang, Yang Yu, Lina Guo, Jianying Sun, Haijun Li

“…Non-destructive detection of maize silage quality is essential. The aim is to propose a fast and non-destructive silage pH detection method based on a colorimetric sensor array (CSA). …”
Get full text

Establishment and application of a loop-mediated isothermal amplification method based on MetAP2 gene for the detection of Nosema bombycis in silkworms (Bombyx mori) by Izhar Hyder Qazi, Ting Yuan, Sijia Yang, Christiana Angel, Christiana Angel, Christiana Angel, Jiping Liu

Get full text

Optimized molecule detection in localization microscopy with selected false positive probability by Miroslav Hekrdla, David Roesel, Niklas Hansen, Soumya Frederick, Khalilullah Umar, Vladimíra Petráková

“…Here, we present an optimized molecule detection method which combines probabilistic thresholding with theoretically optimal filtering. …”
Get full text

Early Detection of Slight Bruises in Yellow Peaches (<i>Amygdalus persica</i>) Using Multispectral Structured-Illumination Reflectance Imaging and an Improved Ostu Method by Jian Wu, Chenlin Liu, Aiguo Ouyang, Bin Li, Nan Chen, Jing Wang, Yande Liu

“…As a comparison, the global thresholding method and the Otsu method were also applied to the segmentation of the bruised region in all samples. …”
Get full text

Non-destructive detection of early wheat germination via deep learning-optimized terahertz imaging by Guangming Li, Hongyi Ge, Yuying Jiang, Yuan Zhang, Xi Jin

“…Abstract Wheat, a major global cereal crop, is prone to quality degradation from early sprouting when stored improperly, resulting in substantial economic losses. Traditional methods for detecting early sprouting are labor-intensive and destructive, underscoring the need for rapid, non-destructive alternatives. …”
Get full text

UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

Get full text

Edge-Optimized Lightweight YOLO for Real-Time SAR Object Detection by Caiguang Zhang, Ruofeng Yu, Shuwen Wang, Fatong Zhang, Shaojia Ge, Shuangshuang Li, Xuezhou Zhao

“…To address these challenges, this paper proposes a lightweight SAR object detection method optimized for edge devices. First, we design an efficient backbone network based on inverted residual blocks and the information bottleneck principle, achieving an optimal balance between feature extraction capability and computational resource consumption. …”
Get full text

Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection by Shihui Liu, Bing Xue, Meiping Song, Haimo Bao, Mengjie Zhang

“…First, the majority of multiobjective BS methods predominantly optimize accuracy in classification tasks, neglecting the emphasis on anomaly detection. …”
Get full text

Optimization of the viability PCR for accurate detection of Staphylococcus aureus in food samples. by Mai Dinh Thanh, Gemma Agustí, Anneluise Mader, Francesc Codony

“…Controlling the viable levels of S. aureus is crucial for ensuring food safety. The detection of S. aureus during routine quality control is still primarily conducted using traditional culture-based methods, which are time-consuming and unable to detect viable but non-culturable cells. …”
Get full text

Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

“…Abstract The ever-growing number of complex cyber attacks requires the need for high-level intrusion detection systems (IDS). While the available research deals with traditional, hybrid, and ensemble methods for network data analysis, serious challenges are still being met in terms of producing robust and highly accurate detection systems. …”
Get full text

Interference Suppression for VLC System Based on Optimized Channel Detection Algorithm by Liwei Yang, Ziyang Jin, Jiangtao Zhao, Yue Zhang, Xinyu Li, Boyu Jia

“…In Visible Light Communication (VLC) systems, multipath effects significantly challenge achieving high-quality communication and optimal system performance. The paper introduces the Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) technique within an indoor VLC system and presents an optimized channel detection method. …”
Get full text

An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…The comparative analysis demonstrates the effectiveness and superiority of our method across various performance metrics, highlighting its potential to significantly enhance the capabilities of network intrusion detection systems.…”
Get full text

MSO‐DETR: Metric space optimization for few‐shot object detection by Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun

Get full text

OPTIMIZING ELDERLY HEALTH THROUGH NUTRITIONAL COUNSELING EFFORTS AND EARLY DETECTION by Rindayati, Abd Nasir, Susilo Harianto, Emuliana Sulpat, Hafna Ilmy Muhalla, Sofiatun

“…Objective: This activity aims to increase knowledge about optimizing the health of the elderly through nutritional counseling and early detection status. …”
Get full text

Research on performance optimizations for TCM-KNN network anomaly detection algorithm by LI Yang1, GUO Li1, LU Tian-bo3, TIAN Zhi-hong1

“…Based on TCM-KNN（transductive confidence machine for K-nearest neighbors） algorithm,the filter-based feature selection and cluster-based instance selection methods were used towards optimizing it as a lightweight network anomaly detection scheme,which not only reduced its complex feature space,but also acquired high quality instances for training.A series of experimental results demonstrate the two methods for optimizations are actually effective in greatly reducing the computational costs while ensuring high detection performances for TCM-KNN algorithm.Therefore,the two methods make TCM-KNN be a good scheme for a lightweight network anomaly detection in practice.…”
Get full text

Evaluation of geological engineering factors for productivity of deep CBM well after fracturing based on grey correlation method by KONG Xiangwei,XIE Xin,WANG Cunwu,SHI Xian

“…Furthermore, a classification decision tree is established using the chi-square automatic interactive detection decision tree method, in conjunction with gas well productivity data, to understand the impact of geological and engineering factors on gas well productivity in fractured wells. …”
Get full text