Target Detection with Distributed Terahertz Sensors by Yang Yu, Jin Li, Xiaobo Yang

“…The distribution of THz radar system noise is measured and investigated to confirm the applicability of the detection algorithm in THz band. Experiments with multiple THz sensors are performed to detect single and multiple point-like targets, respectively. …”
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Search and detection of remote sensing objects by A. I. Mitsiukhin

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Design of the DETECT project: automated cardiac arrest detection and activation of the emergency medical chain integrated into a wristband by Roos Edgar, Kambiz Ebrahimkheil, Niels T.B. Scholte, Catharina E. Jansen, Rypko J. Beukema, Marc A. Brouwer, Eelko Ronner, Aysun Cetinyurek-Yavuz, Marit van Barreveld, Marcel G.W. Dijkgraaf, Peter C. Stas, Eric Boersma, Niels van Royen, Judith L. Bonnes

“…Recently, an algorithm for automated detection of induced cardiac arrest was developed using wrist-derived photoplethysmography (DETECT-1a study). …”
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Network-based malcode detection technology by WU Bing1, YUN Xiao-chun2, GAO Qi1

“…Following the analysis for traditional distributed IDS,disadvantages that applying structure of multiple engine and small rules set to detect network-level malcode were pointed out,which is based on detailed protocol decoding.Detection model and anti-malcode markup language of network-level malcode were designed for single engine and big rules set.The characteristics of network data flow were analyzed.By optimization of patterns,frequent collisions between suffix with data flow and unbalanced branched of chained list were avoided.The efficiency by using WM algorithm to detect malcode on network level can be remarkably increased.…”
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On Guaranteed Detectability for Surveillance Sensor Networks by Yanmin Zhu

“…In this paper, we propose a fully distributed algorithm GAP for energy-efficient event detection for surveillance applications. …”
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Driving Detection Based on the Multifeature Fusion by Qiufen Yang, Yan Lu

“…In order to solve the problems of facial feature localization and driver fatigue state identification methods in driving fatigue detection, a driving detection method based on the multifeature fusion was proposed. …”
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Expert Detection In Question Answer Communities by Hamed Salimian, Mohammad Amin Fazli, Jafar Habibi

“…We used some ideas such as profile making for users, categorize users’ expertise, A-Priori algorithm and showed that neural networks method results the best for the purpose of expert detection.…”
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A Survey on Deepfake Video Detection by Peipeng Yu, Zhihua Xia, Jianwei Fei, Yujiang Lu

“…Abstract Recently, deepfake videos, generated by deep learning algorithms, have attracted widespread attention. Deepfake technology can be used to perform face manipulation with high realism. …”
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Application of chemotactic behavior for life detection by Max Riekeles, Vincent Bruder, Vincent Bruder, Nicholas Adams, Berke Santos, Berke Santos, Dirk Schulze-Makuch, Dirk Schulze-Makuch, Dirk Schulze-Makuch

“…Methodologically, we introduce here a novel approach for utilizing µ-slides that diverges from the more traditional long-term chemotactic assay in favor of a shorter time frame assay that only requires a simple blob detection algorithm for microbial detection. Given the technical, computational, and time constraints necessary for an in-situ life detection mission, this simplified approach could be a cost and resource-effective way to probe for potential chemotactic-responsive life. …”
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Real-Time Image Processing Applications in Automatic BGA Inspection System by Chiung-Hsing Chen, Cheng-Chang Chiu, Shao-En Kao, Hsiang Li

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Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm by Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, A. Johnson Santhosh

“…In order to evaluate the efficacy of the proposed QIFABC algorithm, feature selection is also conducted using QIFA, FA, and ABC algorithms. …”
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Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters. by Lorenzo Sani, Alessandro Vispa, Riccardo Loretoni, Michele Duranti, Navid Ghavami, Daniel Alvarez Sánchez-Bayuela, Stefano Caschera, Martina Paoli, Alessandra Bigotti, Mario Badia, Michele Scorsipa, Giovanni Raspa, Mohammad Ghavami, Gianluigi Tiberi

“…MammoWave is a microwave imaging device for breast lesions detection, which operates using two (azimuthally rotating) antennas without any matching liquid. …”
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Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm by Yasser A. Yasser, Ahmed T. Sadiq, Wasim AlHamdani

“…The honeyword system is an effective password cracking detection system designed to easily detect password cracking in order to improve the security of hashed passwords. …”
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Fish Detection Using Deep Learning by Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

“…An advanced system with more computing power can facilitate deep learning feature, which exploit many neural network algorithms to simulate human brains. In this paper, a convolutional neural network (CNN) based fish detection method was proposed. …”
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Approach to Plagiarism Detection in Programming Assignments by Malek Algabri, Firdaus Alhrazi

“…In this paper, a methodology for detecting plagiarism in programming tasks, in particular in the visual programming category using deep learning and machine learning algorithms is proposed. …”
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KERATOCONUS DETECTION USING DEEP LEARNING by Younis Abbosh, Shatha Ali, Dia Ali, Iman Jasim

“…This paper used real data taken from TOMEY TMS-5 to build a dataset for convolutional neural networks (CNNs) GoogleNet algorithms to classify either a Keratoconus or a normal case. …”
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Driver anomaly detection in cargo terminal by Shahab Emaani, Abbas Saghaei

“…Subsequently, Isolation Forest, KNN, and HBOS algorithms are applied to detect abnormal behavior using data mining techniques. …”
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RGB-T Object Detection With Failure Scenarios by Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen

“…Currently, RGB-thermal (RGB-T) object detection algorithms have demonstrated excellent performance, but issues such as modality failure caused by fog, strong light, sensor damage, and other conditions can significantly impact the detector's performance. …”
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PERFORMANCE EVALUATION OF LIGHTWEIGHT OBJECT DETECTION MODELS FOR REAL-TIME PERSONAL PROTECTIVE EQUIPMENT DETECTION IN THE CONSTRUCTION SITES by Herman, Sandy Alferro Dion, Andik Yulianto

“…Using lightweight machine learning algorithms, object recognition can help to detect if the PPEs are worn correctly. …”
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A Two-Stage Corrosion Defect Detection Method for Substation Equipment Based on Object Detection and Semantic Segmentation by Zhigao Wang, Xinsheng Lan, Yong Zhou, Fangqiang Wang, Mei Wang, Yang Chen, Guoliang Zhou, Qing Hu

“…Although existing methods can detect the corrosion of equipment, these methods are often poor in real-time. …”
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