Accelerating next generation sequencing data analysis: an evaluation of optimized best practices for Genome Analysis Toolkit algorithms by Karl R. Franke, Erin L. Crowgey

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Laser Writing of GaN/Ga2O3 Heterojunction Photodetector Arrays by Pengxiang Sun, Xun Yang, Kexue Li, Zhipeng Wei, Wei Fan, Shaoyi Wang, Weimin Zhou, Chongxin Shan

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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

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Using a YOLO Deep Learning Algorithm to Improve the Accuracy of 3D Object Detection by Autonomous Vehicles by Ramavhale Murendeni, Alfred Mwanza, Ibidun Christiana Obagbuwa

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Advancements in Nanotechnology for Enhanced Food Safety and Hygiene: Pathogen Detection, Smart Packaging, and Preservation Applications by Farhang Hameed Awlqadr, Ammar B. Altemimi, Qausar Hamed AlKaisy, Syamand Ahmed Qadir, Aryan Mahmood Faraj, Tablo Azad H.Slih, Rawaa H. Tlay, Tarek Gamal Mohamed Abd El-Maksoud, Franscesco Cacciola

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Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environment by Grażyna Czeszewska-Rosiak, Iwona Adamczyk, Agnieszka Ludwiczak, Piotr Fijałkowski, Paweł Fijałkowski, Magdalena Twarużek, Michał Złoch, Dorota Gabryś, Wioletta Miśta, Andrzej Tretyn, Paweł Piotr Pomastowski

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Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram by Prabin Jose Johnrose, Sundaram Muniasamy, Jaffino Georgepeter

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Automatic detection and tracking the moving objects observed by an unmanned aerial vehicles video camera by R. S. Zhuk

Subjects: “…motion detection…”
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Vision-Based Underwater Docking Guidance and Positioning: Enhancing Detection with YOLO-D by Tian Ni, Can Sima, Wenzhong Zhang, Junlin Wang, Jia Guo, Lindan Zhang

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Comparative analysis of neural network models performance on low-power devices for a real-time object detection task by A. Zagitov, E. Chebotareva, A. Toschev, E. Magid

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Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective review by Yike Sun, Xiaogang Chen, Bingchuan Liu, Liyan Liang, Yijun Wang, Shangkai Gao, Xiaorong Gao

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Advanced Fraud Detection: Leveraging K-SMOTEENN and Stacking Ensemble to Tackle Data Imbalance and Extract Insights by Nurafni Damanik, Chuan-Ming Liu

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Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

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Polydiacetylene (PDA) Embedded Polymer-Based Network Structure for Biosensor Applications by Huisoo Jang, Junhyeon Jeon, Mingyeong Shin, Geonha Kang, Hyunil Ryu, Sun Min Kim, Tae-Joon Jeon

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DNA methylation biomarker analysis from low-survival-rate cancers based on genetic functional approaches by Yi-Hsuan Tsai, Prasenjit Mitra, David Taniar, Tun-Wen Pai, Tun-Wen Pai

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PCR-detection rates of T. pallidum ssp. pallidum in swab samples from the Czech Republic (2004–2022): Combined RPR, IgM, and PCR tests efficiently detect active syphilis by Eliška Vrbová, Petra Pospíšilová, Eliška Dastychová, Martina Kojanová, Miluše Kreidlová, Daniela Vaňousová, Filip Rob, Přemysl Procházka, Alena Krchňáková, Vladimír Vašků, Radim Strnadel, Olga Faustmannová, Monika Dvořáková Heroldová, Ivana Kuklová, Hana Zákoucká, David Šmajs

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BEVFusion With Dual Hard Instance Probing for Multimodal 3D Object Detection by Taeho Kim, Joohee Kim

Subjects: “…3D object detection…”
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Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study by Rongxue Shan, Chenhao Pei, Qianrui Fan, Junchuan Liu, Dawei Wang, Shifeng Yang, Ximing Wang

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Research on Innovative Apple Grading Technology Driven by Intelligent Vision and Machine Learning by Bo Han, Jingjing Zhang, Rolla Almodfer, Yingchao Wang, Wei Sun, Tao Bai, Luan Dong, Wenjing Hou

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Semi-Supervised Change Detection with Data Augmentation and Adaptive Thresholding for High-Resolution Remote Sensing Images by Wuxia Zhang, Xinlong Shu, Siyuan Wu, Songtao Ding

Subjects: “…semi-supervised change detection…”
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