YOLOv8-TF: Transformer-Enhanced YOLOv8 for Underwater Fish Species Recognition with Class Imbalance Handling by Chiranjibi Shah, M M Nabi, Simegnew Yihunie Alaba, Iffat Ara Ebu, Jack Prior, Matthew D. Campbell, Ryan Caillouet, Matthew D. Grossi, Timothy Rowell, Farron Wallace, John E. Ball, Robert Moorhead

“…The class-aware loss considers the count of instances within each species and assigns a higher weight to species with fewer instances. …”
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Outlier Ensemble Based on Isolation Forest: The CBOEA Approach by Chaabouni Ali, Boujelben Mohamed Ayman

“…Outliers are instances that deviate from the norm. In certain fields, their detection is crucial since they are often indicators of interesting events such as system faults and deliberate human actions. …”
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Attain: Inclusive annotated pavement distress types and severity datasetMendeley Data by Mohammad Rezaeimanesh, Amir Golroo, Mohammad Sadegh Fahmani, Mohammad Javad Amani, Farid Hasanitabaar, Mohammad Saleh Entezari, Sane Karimi

“…In total, 19,761 distress-type instances were detected and annotated with distress type and severity. …”
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Relationship between Microscopic Agglutination Test and Real-Time PCR Assay for Detection of Seropositivity of Pathogenic <i>Leptospira</i> Infections in Cattle in Chile: A Pilot S... by Paz Loebel, Lucía Azócar-Aedo, Alfredo Rodríguez, María Gallardo

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Comparative Analysis of Metagenomic Next-Generation Sequencing, Sanger Sequencing, and Conventional Culture for Detecting Common Pathogens Causing Lower Respiratory Tract Infection... by Qiaolian Yi, Ge Zhang, Tong Wang, Jin Li, Wei Kang, Jingjia Zhang, Yali Liu, Yingchun Xu

“…In 91.30% (168/184) of cases, identical results were produced by both mNGS and Sanger sequencing. mNGS detected more species in 7.61% (14/184) of cases, whereas in 2.80% (2/184) instances, the Sanger sequencing detected more microorganisms than mNGS. …”
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Efficient tree mapping through deep distance transform (DDT) learning by Jan Schindler, Ziyi Sun, Bing Xue, Mengjie Zhang

“…The increase in available remote sensing data and advances in automated object detection makes it feasible to map trees over large areas in unprecedented detail. …”
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Molecular detection of Toxoplasma gondii in ready-to-eat salad mixes: multi-country survey using a validated and harmonised standard operating procedure, Europe, 2021 to 2022 by Marco Lalle

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Deep learning and georeferenced RGB-D imaging for hydroponic strawberry yield mapping by Camilo Pardo-Beainy, Carlos Parra, Leonardo Solaque, Won Suk Lee

“…This study evaluates four instance segmentation algorithms: YOLOv8n, YOLOv8s, YOLOv8m, and YOLOv8l, along with a low-cost GNSS RTK system to detect and count strawberries in a hydroponic environment. …”
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Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective coho... by Stefanie Aeschbacher, David Conen, Diederick E Grobbee, Raphael Twerenbold, Thomas Lung, Theo Rispens, Jakob Kjellberg, Lorenz Risch, Martin Risch, Marianna Mitratza, Harald Renz, Spiros Denaxas, Billy Franks, Diederick Grobbee, Martina Rothenbühler, Janneke Wijgert, Santiago Montes, Richard Dobson, Hans Reitsma, Christian Simon, Titia Leurink, Charisma Hehakaya, Patricia Bruijning, Kirsten Grossmann, Ornella C Weideli, Marc Kovac, Fiona Pereira, Nadia Wohlwend, Corina Risch, Dorothea Hillmann, Daniel Leibovitz, Vladimir Kovacevic, Andjela Markovic, Paul Klaver, Timo B Brakenhoff, George S Downward, Ariel Dowling, Maureen Cronin, Brianna M Goodale, Brianna Goodale, Ornella Weideli, Regien Stokman, Hans Van Dijk, Eric Houtman, Jon Bouwman, Kay Hage, Lotte Smets, Marcel van Willigen, Maui Chodura, Niki de Vink, Tessa Heikamp, Timo Brakenhoff, Wendy van Scherpenzeel, Wout Aarts, Alison Kuchta, Antonella Chiucchiuini, Steve Emby, Annemarijn Douwes, George Downward, Nathalie Vigot, Pieter Stolk, Duco Veen, Daniel Oberski, Amos Folarin, Pablo Fernandez Medina, Eskild Fredslund

“…The training set represented an 8-day long instance extracted from day 10 to day 2 before SO. …”
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A novel system for automated continuous on-farm assessment of digital dermatitis using artificial intelligence by Ajmal Shahbaz, Wenhao Zhang, Melvyn Smith

“…This paper introduces a novel system combining innovative hardware coupled with a two-stage intelligent image analysis pipeline for the early detection of DD lesions, with the goal of preventing lameness in dairy cows. …”
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Agreement between gastrointestinal panel testing and standard microbiology methods for detecting pathogens in suspected infectious gastroenteritis: Test evaluation and meta-analysi... by Karoline Freeman, Alexander Tsertsvadze, Sian Taylor-Phillips, Noel McCarthy, Hema Mistry, Rohini Manuel, James Mason

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Ensemble Strategy With Multi-Step Hard Sample Mining for Improved UXO Localisation and Classification by Marian Craioveanu, Grigore Stamatescu, Dan Popescu

“…In this article, a novel strategy based on the iterative fine-tuning on hard-to-detect instances is presented. This is implemented specifically by oversampling instances from the training dataset resulted as false negative predictions of the previous models, to obtain expert models for different types and difficulties of the involved proprietary real-world UneXploded Ordnances (UXO) dataset. …”
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Application of dynamic enhanced scanning with GD-EOB-DTPA MRI based on deep learning algorithm for lesion diagnosis in liver cancer patients by Bo Liu, Jinhua Yang, Yifei Wu, Xi Chen, Xueru Wu

“…We found that one network can detect and classify. Radiologists need higher detection capability.…”
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MRI-Based Meningioma Firmness Classification Using an Adversarial Feature Learning Approach by Miada Murad, Ameur Touir, Mohamed Maher Ben Ismail

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Multi-crop plant counting and geolocation using a YOLO-Powered GUI System by Renato Herrig Furlanetto, Nathan Schawn Boyd, Ana Claudia Buzanini

“…The fourth module eliminates duplicate detections by applying buffer zones around neighboring detections, merging overlapping instances, and assigning a single centroid for each cluster. …”
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AAD-YOLO: An Improved YOLOv8 Model for Complex Remote Sensing Scenarios by Yue Hong, Yi Shu, Shuo Guo

“…Detecting small objects in remote sensing images is challenging due to complex background interference, the tendency for them to be misse, and multi-scale variations. …”
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Gingival Squamous Cell Carcinoma: a Case Report by Luiz Antonio Guimarães Cabral, Luis Felipe das Chagas e Silva de Carvalho, José Antônio Pereira Salgado, Adriana Aigotti Haberbeck Brandão, Janete Dias Almeida

“…Three years after the end of treatment, the patient continues to be followed-up and does not show any sign of recurrence.Conclusions: Gingival squamous cell carcinoma is a condition which chance of cure is higher when carcinomatous lesions are diagnosed and treated early. In this instance dentists play an important role in early detection of gingival squamous cell carcinoma.…”
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Improving Classification Performance by Addressing Dataset Imbalance: A Case Study for Pest Management by Antonello Longo, Maria Rizzi, Cataldo Guaragnella

“…The obtained results show the method’s validity as the performance both in the detection and classification tasks outperforms the state-of-the-art methods. …”
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LVID-SLAM: A Lightweight Visual-Inertial SLAM for Dynamic Scenes Based on Semantic Information by Shuwen Wang, Qiming Hu, Xu Zhang, Wei Li, Ying Wang, Enhui Zheng

“…Recent approaches combining deep learning with algorithms for dynamic scenes comprise two types: faster, less accurate object detection-based methods and highly accurate, computationally costly instance segmentation-based methods. …”
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Improving Satellite Imagery Masking Using Multitask and Transfer Learning by Rangel Daroya, Luisa Vieira Lucchese, Travis Simmons, Punwath Prum, Tamlin Pavelsky, John Gardner, Colin J. Gleason, Subhransu Maji

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