Detection of Indoor Building Lighting Fixtures in Point Cloud Data using SDBSCAN by Humairah Mansor, Shazmin Aniza Abdul Shukor, Razak Wong Chen Keng, Nurul Syahirah Khalid

“…However, this led to the high amount of data that needs to be processed and requires a specific method, especially to detect lighting fixtures. …”
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IDDNet: Infrared Object Detection Network Based on Multi-Scale Fusion Dehazing by Shizun Sun, Shuo Han, Junwei Xu, Jie Zhao, Ziyu Xu, Lingjie Li, Zhaoming Han, Bo Mo

“…Extensive experiments on public datasets demonstrate that IDDNet achieves 89.4% precision and 83.9% AP, showing its superior accuracy, processing speed, generalization, and robust detection performance.…”
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A Rapid Sand Gradation Detection Method Based on Dual-Camera Fusion by Shihao Zhang, Yang Zhang, Song Sun, Xinghai Yuan, Haoxuan Sun, Heng Wang, Yi Yuan, Dan Luo, Chuanyun Xu

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Detection of out-of-seam and out-of-scope mining using double filtering method by Chong Wang, Pengzhi Cui, Guodong Song, Zhiming Xu, Jiajun Qin

“…As inspectors navigate the mine and pass through designated Bluetooth beacon zones, the particle filtering model processes the navigation data to correct errors dynamically. …”
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Integration of Accelerometers and Machine Learning with BIM for Railway Tight- and Wide-Gauge Detection by Jessada Sresakoolchai, Chayutpong Manakul, Ni-Asri Cheputeh

“…This study explores a novel approach to detecting railway tight and wide gauges by integrating accelerometer data, machine-learning techniques, and building information modeling (BIM). …”
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Anomaly Detection in Wireless Sensor Networks Using Immune-Based Bioinspired Mechanism by Ramsha Rizwan, Farrukh Aslam Khan, Haider Abbas, Sajjad Hussain Chauhdary

“…Anomalous data packets are used for further processing to identify specific anomalies. In this way, the number of wormholes, packets delayed, and packets dropped are calculated and identified. …”
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SoybeanNet: A Lightweight Neural Network for Soybean Pod Detection and Quantification by Nayak Ashu, Raghatate Kapesh Subhash

“…Experimental evaluations demonstrate that SoybeanNet achieves superior detection accuracy compared to traditional image processing techniques and other lightweight models, maintaining consistent performance across different growth stages and environmental settings. …”
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PULMONARY TUBERCULOSIS PATIENTS DETECTED DURING MASS SCREENING AND BY REFERRAL TO MEDICAL UNITS by N. A. Zubova, E. B. Tsybikova, V. V. Punga, T. P. Sabgayda

“…Statistica software was used for data processing.Results. Among 446 pulmonary tuberculosis patients detected in 2012-2014, the part of those detected during mass screening made ¾ out of total number, and those detected by self-referral made ¼, however the latter group of patients was significantly more dangerous from epidemiological point of view, since among them the part of those with long period of the disease before treatment start was higher, the positive sputum tests were more often observed as well as pulmonary cavities and primary MDR compared to the patients detected during mass screening.The obtained results point out at the need to focus on mass screening in the targeted groups of population concentrated around sources of infection.…”
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Irish potato imagery dataset for detection of early and late blight diseasesZenodo by Hudson Laizer, Neema Mduma

“…This dataset holds significant potential for reuse in training machine learning models for crop disease detection, transfer learning and data augmentation studies. …”
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YOLOv12 for Human Object Detection in Real-time Video Surveillance Systems by Yohanes Bowo Widodo, Sondang Sibuea, Rano Agustino

“…This research discusses the application of the YOLO (You Only Look Once) model to detect human objects in real-time video surveillance systems. …”
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The Method of Detecting Leaks in Pneumatic Actuators on the Example of a Selected Production System by Andrzej Loska, Artur Macha

“…Compressed air is a very important energy medium in industrial processes.Leaks in pneumatic systems, inappropriate pressure, improper use of components, etc. are responsible for losses of produced compressed air. …”
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Lightweight faster R-CNN for object detection in optical remote sensing images by Andrew Magdy, Marwa S. Moustafa, Hala M. Ebied, Mohamed F. Tolba

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Chemotactic migration of T cells towards dendritic cells promotes the detection of rare antigens. by Renske M A Vroomans, Athanasius F M Marée, Rob J de Boer, Joost B Beltman

“…In many immunological processes chemoattraction is thought to play a role in guiding cells to their sites of action. …”
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Characterization of Phytoplankton Composition in Lake Maggiore: Integrated Chemotaxonomy for Enhanced Cyanobacteria Detection by Elisabetta Canuti, Martina Austoni

“…Cyanobacterial blooms in lakes have increased in frequency and intensity over the past two decades, negatively affecting ecological and biogeochemical processes. This study focuses on the phytoplankton composition of Lake Maggiore, with a special emphasis on cyanobacteria detection through pigment composition. …”
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Sports video temporal action detection technology based on an improved MSST algorithm by Lai Lixin, Fang Yu

“…Sports videos contain a large number of irrelevant backgrounds and static frames, which affect the efficiency and accuracy of temporal action detection. To optimize sports video data processing and temporal action detection, an improved multi-level spatiotemporal transformer network model is proposed. …”
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Dataset creation of thermal images of pomegranate for internal defect detectionMendeley Data by Ashvini Gaikwad, Manoj Deshpande, Varsha Bhole

“…This information is useful for training a machine learning algorithms that are intended for bulk processing in the field of fruit defect detection and classification.…”
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End-to-End Multi-Modal Speaker Change Detection with Pre-Trained Models by Alymzhan Toleu, Gulmira Tolegen, Alexandr Pak, Jaxylykova Assel, Bagashar Zhumazhanov

“…In this work, we propose a multi-modal speaker change detection (SCD) approach with focal loss, which integrates both audio and text features to enhance detection performance. …”
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Mass and stiffness sensing performance of nanomechanical resonators: viability of infectious virus detection by Manuel Gómez-Moreno, Juan Molina, José J. Ruz, Óscar Malvar, Javier Tamayo, Montserrat Calleja, Álvaro San Paulo

“…Abstract We examine the performance of nanomechanical resonators for mass and stiffness sensing of nanoparticulate analytes with focus on their application for untargeted infectious virus detection. The characteristic narrow mass distributions of viruses, together with the existing correlations between their stiffness and infectivity, point out to nanomechanical sensors as a particularly suited alternative to molecular detection techniques, constrained by limited processing speed, target-specificity, and the inability to directly assess infectivity. …”
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Rapid detection of soybean nutrient deficiencies with YOLOv8s for precision agriculture advancement by Minsoo Jeong, Sihyun Park, Sook-Min Kwon, KyeongMo Lim, Da-Ryung Jung, Hong-Seok Lee, Hei Jung Kim, Jae-Ho Shin

“…Precision rates for individual nutrient deficiencies ranged from 90.03 to 96.54%, with highly accurate potassium deficiency detection. The model demonstrated robust generalization across diverse field conditions, processing images in 3.46 ms each, making it suitable for real-time applications. …”
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Binary Large Object-Based Approach for QR Code Detection in Uncontrolled Environments by Omar Lopez-Rincon, Oleg Starostenko, Vicente Alarcon-Aquino, Juan C. Galan-Hernandez

“…The proposal consists in recognizing geometrical features of QR code using a binary large object- (BLOB-) based algorithm with subsequent iterative filtering QR symbol position detection patterns that do not require complex processing and training of classifiers frequently used for these purposes. …”
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