Development of Gas Sensors and Their Applications in Health Safety, Medical Detection, and Diagnosis by Jiayu Wang, Rui Wang

“…In the sphere of medical detection and diagnosis, this paper focuses on the detection of biomarkers in human exhaled breath by gas sensors, which facilitates the early diagnosis of diseases such as lung cancer. …”
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Diet and Abdominal Autofluorescence Detected by in Vivo Fluorescence Imaging of Living Mice by Yusuke Inoue, Kiyoko Izawa, Shigeru Kiryu, Arinobu Tojo, Kuni Ohtomo

“…We investigated the effect of diet on abdominal autofluorescence detected by in vivo fluorescence imaging (FLI) of living mice. …”
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Leveraging Multi-Modality and Enhanced Temporal Networks for Robust Violence Detection by Gwangho Na, Jaepil Ko, Kyungjoo Cheoi

“…Using the XD-Violence dataset, which includes audio data for violence detection, we conduct experiments to evaluate various feature fusion methods. …”
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A Review of House Detection from High Resolution Satellite Images by Mariam Ismael hassan, Loay E. George

“…Detecting houses through high-resolution satellite images has received increasing attention in recent years and is considered a basic but difficult task in the field of remote sensing. …”
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Incoherent Region-Aware Occlusion Instance Synthesis for Grape Amodal Detection by Yihan Wang, Shide Xiao, Xiangyin Meng

“…Additionally, the proposed overlapping cover strategy significantly outperforms the random cover strategy in amodal detection performance.…”
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BN-SNN: Spiking neural networks with bistable neurons for object detection. by Siddiqui Muhammad Yasir, Hyun Kim

“…However, existing conversion techniques are hindered by long temporal durations or inference latencies, which negatively impact the accuracy of the converted networks. Additionally, the application of SNNs in object detection tasks remains largely under-explored. …”
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Multi-Channel Replay Speech Detection Using an Adaptive Learnable Beamformer by Michael Neri, Tuomas Virtanen

“…In this work, we propose a multi-channel neural network architecture called M-ALRAD for the detection of replay attacks based on spatial audio features. …”
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BETWEEN ARCHAEOLOGY AND METAL DETECTING, ANCIENT COINS FROM OCNIȚA-BURIDAVA by Silviu I. PURECE

“…Associating discoveries from metal detection with information related to findings with a clear archaeological context can be a solution in understanding certain phenomena that led to their deposition, loss, or concealment. …”
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Research Progress of Electrochemical Biosensors for Diseases Detection in China: A Review by Haoran Cui, Xianglin Xin, Jing Su, Shiping Song

“…It systematically categorizes and summarizes biosensors developed in China for detecting cancer, infectious diseases, inflammation, and neurodegenerative disorders. …”
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Overlapping Box Suppression and Merging Algorithms for Window-Based Object Detection by Kos Aleksandra

“…Additionally, we introduce a novel Overlapping Box Merging (OBM) algorithm, which further refines detection results by combining partial detections into a single, more accurate detection. …”
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Optimal resource allocation for two-stage connectionless access with collision detection by Xin JIAN, Fang WANG, Jian SONG, Shu FU, Xiaoheng TAN, Xiaoping ZENG

“…Connectionless access allows massive machine type communication (mMTC) devices to transmit small packets without establishment of radio bearers,significantly reducing device power consumption and control signaling overhead.Two-stage connectionless access (TSCLA) improves throughput and resource efficiency by optimally allocating resources between scheduling request (SR) phase and data transmission phase,which can be used for bigger packets and high traffic load.Based on this,a comprehensive theoretical analysis of one kind of TSCLA with collision detection was conducted to investigate its performance limit and devise its optimal resource allocation scheme.In addition,to avoid the complexity of user number estimation,a dynamic resource allocation algorithm with feedback control was proposed.Numerical results are provided to validate the effectiveness of aforementioned theoretical results and show that comparing with the genie aided algorithm known exactly the number of users,the performance loss of the proposed algorithm is within 4%.These works together provide good references for appropriate resource dimensioning for mMTC related protocols.…”
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Detection of attacker and location in wireless sensor network as an application for border surveillance by Mohammed Aseeri, Muhammad Ahmed, Mohammed Shakib, Oussama Ghorbel, Hussian Shaman

“…One effective solution is the addition of smart fencing to enhance surveillance in a Border Patrol system. …”
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Bolt Loosening and Preload Loss Detection Technology Based on Machine Vision by Zhiqiang Shang, Xi Qin, Zejun Zhang, Hongtao Jiang

“…This finding lays a theoretical foundation for defining effective detection intervals in future bolt loosening recognition systems. …”
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A Community Detection Algorithm Based on Topology Potential and Spectral Clustering by Zhixiao Wang, Zhaotong Chen, Ya Zhao, Shaoda Chen

“…Community detection is of great value for complex networks in understanding their inherent law and predicting their behavior. …”
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Symmetry constrained neural networks for detection and localization of damage in metal plates by James Amarel, Christopher Rudolf, Athanasios Iliopoulos, John G. Michopoulos, Leslie N. Smith

“…Upon training a neural network to analyze time-series data of the material response, which displayed damage-reflective features whenever the plate-guided waves interacted with a contact load, we achieved a model that detected with >99% accuracy in addition to a model that localized with 2.58 ± 0.12 mm mean distance error. …”
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Enhancing cyber threat detection with an improved artificial neural network model by Toluwase Sunday Oyinloye, Micheal Olaolu Arowolo, Rajesh Prasad

“…Compared to traditional approaches, the augmented ANN’s 92% accuracy is a significant improvement owing to the network’s increased resilience to disturbances and computational complexity, brought about by the addition of a random weight and standard scaler. Considering the ever-evolving nature of cybersecurity threats, this study introduces a revolutionary intrusion detection method.…”
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Generalized Likelihood Block Detection for SPAD-Based Underwater VLC System by Ya-Wei Ji, Guo-Feng Wu, Chao Wang

“…The proposed receiver can detect the data sequence without any prior knowledge of the channel and the background radiation. …”
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A Defect Detection Algorithm for Optoelectronic Detectors Utilizing GLV-YOLO by Xinfang Zhao, Qinghua Lyu, Hui Zeng, Zhuoyi Ling, Zhongsheng Zhai, Hui Lyu, Saffa Riffat, Benyuan Chen, Wanting Wang

“…To meet the demands of real-time and accurate defect detection, this paper introduces an optimization algorithm based on the GLV-YOLO model tailored for photodetector defect detection in manufacturing settings. …”
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Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution by Oren Freifeld, Hayit Greenspan, Jacob Goldberger

“…This paper focuses on the detection and segmentation of Multiple Sclerosis (MS) lesions in magnetic resonance (MRI) brain images. …”
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Detecting Dynamic States of Temporal Networks Using Connection Series Tensors by Shun Cao, Hiroki Sayama

“…Here we propose a new method for detecting dynamic states in temporal networks using connection series (i.e., time series of connection status) between nodes. …”
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