An Efficient Group Convolution and Feature Fusion Method for Weed Detection by Chaowen Chen, Ying Zang, Jinkang Jiao, Daoqing Yan, Zhuorong Fan, Zijian Cui, Minghua Zhang

“…Weed detection is a crucial step in achieving intelligent weeding for vegetables. Currently, research on vegetable weed detection technology is relatively limited, and existing detection methods still face challenges due to complex natural conditions, resulting in low detection accuracy and efficiency. …”
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Combining OBIA, CNN, and UAV imagery for automated detection and mapping of individual olive trees by Oumaima Ameslek, Hafida Zahir, Hanane Latifi, El Mostafa Bachaoui

“…Initially, The CNN-based classifier was created, trained, validated, and applied to generate the Olive trees probability maps on the ortho-photo. …”
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Online Traffic Crash Risk Inference Method Using Detection Transformer and Support Vector Machine Optimized by Biomimetic Algorithm by Bihui Zhang, Zhuqi Li, Bingjie Li, Jingbo Zhan, Songtao Deng, Yi Fang

“…First, a self-developed dataset for urban traffic object detection, named TAR-1, is created by extracting traffic information from major roads around Hainan University in China and incorporating Russian car crash news. …”
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Challenges and Development in Suzhou Laboratory Animal Industry Over the Past Five Decades by ZHAO Lijuan, XIAO Chunlan, SHENG Yajie, LU Xi, ZHOU Zhengyu

“…The Suzhou laboratory animal industry has quickly expanded alongside the "No. 1 industry," creating a unique "Suzhou Path" for laboratory animals. …”
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ChatgaiyyaAlap: A dataset for conversion from Chittagonian dialect to standard BanglaMendeley Data by Sinthia Chowdhury, Deawan Rakin Ahamed Remal, Syed Tangim Pasha, Ashraful Islam, Sheak Rashed Haider Noori

“…Our dataset, “ChatgaiyyaAlap,” was created by combining 4012 unique sentences in standard Bangla with their Chittagonian translations, which were gathered from dramas, comments, and videos on YouTube and Facebook. …”
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Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks by Md. Rajib Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul Siddique, Md. Nazmul Islam, Iqbal H. Sarker

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DMSA-Net: a deformable multiscale adaptive classroom behavior recognition network by Chunyu Dong, Jing Liu, Shenglong Xie

“…In the intelligent transformation of education, accurate recognition of students’ classroom behavior has become one of the key technologies for enhancing the quality of instruction and the efficacy of learning. …”
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A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features by Yanlin Shao, Peijin Li, Ran Jing, Yaxiong Shao, Lang Liu, Kunpeng Zhao, Binqing Gan, Xiaolei Duan, Longfan Li

“…To address the limitations of traditional field surveys, such as low efficiency and high risk, we proposed an intelligent lithology recognition method, SG-RFGeo, for terrestrial laser scanning (TLS) outcrop point clouds, which integrates spectral and geometric features. …”
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Efficiency of using antibacterial coatings on titanium implants in the treatment of gunshot fractures by Denis V. Davydov, Leonid K. Brizhan, Artur A. Kerimov, Igor V. Khominets, Kazbek K. Bekshokov, Andrey A. Gritsyuk, Evgeniy A. Kukushko, Vladimir D. Besedin

“…To date, the most studied agents for creating coatings are metal ions, polymers, as well as composites containing antibacterial / antiseptic drugs. …”

Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery by Alain Garcia Vazquez, MD, Juan Verde, MD, Ariosto Hernandez Lara, MD, Didier Mutter, MD, Lee Swanstrom, MD, 5G-OR Research Committee, 5G-OR Consensus Panel, Ariosto Hernandez Lara, Barbara Seeliger, Daniel Hashimoto, Deepak Alapatt, Joel Lavanchy, Juan Verde, Lise Lecointre, Pietro Mascagni, Pr.Danail Stoyanov, Didier Mutter, MD, Dirk Willhelm, MD, Pr.Gerald Fried, MD, Gretchen Jackson, MD, PhD, Jean-Paul Mazellier, PhD, Lee Swanstrom, MD, Pr.Lena Maier-Hein, Pr.Nicolas Padoy, PhD, Pr.Sascha Treskatsch, MD, Pr.Silvana Perretta, MD, PhD, Pr.Stefanie Speidel, Pr.Teodor Grantcharov, Annika Mareike Engel, BSc, MEng, Axel Boese, DrIng, Carla M. Pugh, MD, PhD, Cesare Hassan, Fabian Dietrich, PhD, Felix Nickel, MD, MME, Franziska Jurosch, MSc, Guido Beldi, MD, Henriette Hegermann, Dr, Johannes Horsch, Dipl-Ing, Julian Rosenkranz, Ing, MSc, Keno Sponheuer, DrMed, Luca Milone, MD, PhD, FACS, Nariaki Okamoto, MD, PhD, Patrick Seeling, PhD, Pedro Filipe Pereira Gouveia, MD, PhD, Roland Croner, Prof.Dr, Sandra Keller, PhD, Sharona B Ross, Taiga Wakabayashi, MD, Ph.D, Takeaki Ishizawa, MD, PhD, Takeshi Urade, MD, PhD, Thomas Schnelldorfer, MD, PhD, Thorge Lackner, MSc, and MEng

“…Round 1 focused on a consensus regarding bottlenecks in surgical data science areas and research gaps, while round 2 prioritized the statements from round 1, and a roadmap was created based on the identified essential and very important research gaps. …”
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Emergency-oriented fine change detection of flood-damaged farmland from medium-resolution remote sensing images by Gang Qin, Shixin Wang, Futao Wang, Zhenqing Wang, Suju Li, Xingguang Gu, Kailong Hu, Longfei Liu

“…Based on this framework, FloodedCropland datasets is created. The experimental results show that the proposed change detection model has an F1-score of 0.9047 on flood-damaged farmland. …”
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Mechanical and Thermal Behavior Analysis of Chicken Feather/Sesbania grandiflora Fibers-based Hybrid Epoxy Composites by Shankar Kannan Paramasivam, Muthukannan Marimuthu, Arun Sakthivel, Janani Rajasekar, Sivasubramanian Palanisamy, Kuwar Mausam, Aravindhan Alagarsamy, Quanjin Ma, Saleh A Al-Farraj

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Bayesian Optimized Enhanced Ensemble Multi-Layer Perceptron for Rear-End Collision Prediction in IoV by Dilna Vijayan, Mohamed Saad, Ahmed M. Khedr

“…The trend of creating and deploying intelligent transportation systems within the context of the Internet of Vehicles (IoV) concept is gaining traction and attracting interest from both academia and industry. …”
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Regulatory T cells and matrix-producing cancer associated fibroblasts contribute on the immune resistance and progression of prognosis related tumor subtypes in ccRCC by Chao Zhang, Yisu Song, Xiaobo Cui, Yina Wang, Jiang Liu, Zhouji Shen

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Advanced Low-Cost Technology for Assessing Metal Accumulation in the Body of a Metropolitan Resident Based on a Neural Network Model by Yulia Tunakova, Svetlana Novikova, Vsevolod Valiev, Maxim Danilaev, Rashat Faizullin

“…This study is devoted to creating a neural network technology for assessing metal accumulation in the body of a metropolis resident with short-term and long-term intake from anthropogenic sources. …”
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A multi-objective path optimization method for plant protection robots based on improved A*-IWOA by Jing Niu, Chuanyan Shen, Lipeng Zhang, Qijun Li, Haohao Ma

“…Background The widespread adoption of plant protection robots has brought intelligent technology and agricultural machinery into deep integration. …”
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Fusing Multisource A-Train Satellites and Reanalysis Data for a Comprehensive Deep Convective System Dataset by Xiaoyu Hu, Lang Zhang, Jinming Ge, Qingyu Mu, Meihua Wang, Bochun Liu, Jiajing Du, Zihang Han, Leyi Wang, Hui Wang, Ruilin Zhou

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Real Time Vehicle Classification Using Deep Learning—Smart Traffic Management by Tejasva Maurya, Saurabh Kumar, Mritunjay Rai, Abhishek Kumar Saxena, Neha Goel, Gunjan Gupta

“…A custom dataset was created with images taken in varying traffic conditions, including different times of day and locations, ensuring accurate representation of real‐world traffic scenarios. …”
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Current state and prospects for digitalization of the Russian coal industry by Yu. P. Panov, A. A. Grabsky, A. A. Rozhkov

“…Innovative robotic systems for mineral extraction and processing are increasingly changing the core operational principles of mining enterprises, thus making the creation of an intelligent mining enterprise a reality.Aim. To develop a set of proposals for promoting the digitalization of the coal industry in Russia by carrying out an analysis of the current state of implementation of innovative equipment and digital technologies within the Industry 4.0 state initiative in Russian coal companies.Materials and methods. …”
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Stochastic Dynamics of Emotional Characteristics of Cognitive Systems by A. A. Solodov, T. G. Trembach

“…The study uses statistical characteristics that are suitable for creating artificial intelligent systems, as well as for further development and design of organizational and technical systems. …”
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