RML-YOLO: An Insulator Defect Detection Method for UAV Aerial Images by Zhenrong Deng, Xiaoming Li, Rui Yang

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Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches by Naveen Kumar Vaegae, Kranthi Kumar Pulluri, Kalapraveen Bagadi, Olutayo O Oyerinde

“…The proposed DDDS scheme contains the pre-processing module, image augmentation techniques, and two classification modules based on deep learning architectures. …”
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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. …”
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The Effects of Motion on Distributed Detection in Mobile Ad Hoc Sensor Networks by Xusheng Sun, Edward J. Coyle

“…As they continue to move about, one of them processes its observations, decides that an event of interest occurred, and wants to determine if other sensors confirm its results. …”
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Wi-freshness: research on CSI-based pork freshness detecting system by Chao NIU, Weidong YANG, Pengming HU, Xiangshang GAO, Erbo SHEN

“…Effective and rapid detection of pork freshness is important for pork quality.However, traditional sensory evaluation methods are too subjective, physical and chemical analysis methods are time-consuming and destructive.Recently, radio frequency is widely used in the field of location, material identification and human body monitoring, while, the meat freshness detection is ignored.A real-time, non-destructive and low-cost system for pork freshness detecting based on channel state information (CSI) was proposed.It is a new application of internet of things in the field of fresh agricultural products based on ubiquitous network (commercial Wi-Fi).The proposed Wi-freshness consists of four modules: CSI data sensing, data pre-processing, detection modelling and freshness detection.Considering the need for Wi-freshness data characteristic value processing is not much, and high demand for real-time prediction characteristics, a detection model based broad learning system (BLS) was proposed.Experiment shows that Wi-freshness system can achieve more than 93% detection accuracy.…”
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Metal-Oxide-Decorated Mesoporous Silica Chemiresistors for Exhaled Biomarker Detection by Minchul Sung, Min Jun Oh, Tiancheng Wang, Jaeyong Ahn, Joon Hak Oh, Kathleen J. Stebe, Daeyeon Lee, Geelsu Hwang, Jin Woong Kim

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Detecting and understanding potential stigma among medical cannabis users in Germany by Velimir Borojevic, Felicitas Söhner

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Comprehensive Review of Intrusion Detection Techniques: ML and DL in Different Networks by Imane Rakine, Aziz Oukaira, Kamal El Guemmat, Issam Atouf, Sara Ouahabi, Mohamed Talea, Tarik Bouragba

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Low-complexity signal detection algorithm for the power splitting receiver scheme by WANG Yanyan, LI Qidi, TANG Xiaohu

“…To address the issue of high signal detection complexity in mobile communication systems based on the splitting receiver architecture, a low-complexity signal detection algorithm was proposed. …”
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Resource efficient Internet-of-Things intrusion detection with spiking neural networks by Miloš Živadinović, Dejan Simić

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License Plate Detection with Machine Learning Without Using Number Recognition by Kazuo Ohzeki, Max Geigis, Stefan Schneider

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A formal method to detect possible P4 specific errors by Gabriella Tóth, Máté Tejfel

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Use of traffic sampling in anomaly detection for high-throughput network links by Marek Bolanowski, Andrzej Paszkiewicz, Hubert Mazur

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Big Data Platform for Smart Grids Power Consumption Anomaly Detection by Peter Lipcàk, Martin Macak, Bruno Rossi

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Maize quality detection based on MConv-SwinT high-precision model. by Ning Zhang, Yuanqi Chen, Enxu Zhang, Ziyang Liu, Jie Yue

“…The traditional method of corn quality detection relies heavily on the subjective judgment of inspectors and suffers from a high error rate. …”
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Anomaly detection on compressed data in resource-constrained smart water meters by Sarah Klein, Anna Hristoskova, Annanda Rath, Renaud Gonce

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Optimization of the Cell-based Software Architecture by Applying the Community Detection Approach by Miloš Milić, Dragana Makajić-Nikolić

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Siphon-based deadlock detection in Integrated Model of Distributed Systems (IMDS) by Wiktor Daszczuk

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AI-based Maize and Weeds detection on the edge with CornWeed Dataset by Naeem Iqbal, Christoph Manss, Christian Scholz, Daniel Koenig, Matthias Igelbrink, Arno Ruckelshausen

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Adding Linguistic Information to Transformer Models Improves Biomedical Event Detection? by Laura Zanella, Yannick Toussaint

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