CLS-3D: Content-Wise LiDAR-Camera Fusion and Slot Reweighting Transformer for 3D Object Detection in Autonomous Vehicles by Husnain Mushtaq, Sohaib Latif, Muhammad Saad Bin Ilyas, Syed Muhammad Mohsin, Mohammed Ali

“…The semantically augmented features, via a single multi-modal backbone, are embedded using a content-based transformer and processed through a slot-wise auto-encoder structure with channel-wise positional embeddings and a feed-forward MLP network. …”
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xAAD–Post-Feedback Explainability for Active Anomaly Discovery by Damir Kopljar, Vjekoslav Drvar, Jurica Babic, Vedran Podobnik

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Analysis of Etymonyms in Solving Linguistic and Cross-Cultural Problems of Teaching Russian as a Foreign Language by T. G. Arkadyeva

“…The importance of a methodical understanding of the presentation of the lexical material based on the etymological principle is stressed. …”
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Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…This sentiment analysis research uses machine learning algorithm models, namely K-Nearest Neighbor, Support Vector Machine, and KNN-SVM Ensemble which are majority vote-based and average-based. …”
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Switching Mediterranean Consumers to Mediterranean Sustainable Healthy Dietary Patterns (SWITCHtoHEALTHY): Study Protocol of a Multicentric and Multi-Cultural Family-Based Nutritio... by Lorena Calderón-Pérez, Djamel Rahmani, Metin Güldaş, Asmaa El Hamdouchi, Simona Mincione, Noemí Boqué

“…In addition, a set of activities for adolescents based on a learning-through-play approach to be carried out within the family and at the research centers will be developed through co-creation. …”
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Critical Component Overheating Monitoring Algorithm Integrating Temperature-sensing Patches and Computer Vision Trains by SHU Dong, ZHANG Beijia, YANG Hongtai

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Detecting stress parameters in dromedary camels using computer vision by Hiba Moideen, Manar Abu Talib, Nabil Mansour, Shaher Bano Mirza, Ali Bou Nassif, Simon Zerisenay Ghebremeskel, Fouad Lamghari, Yaman Afadar, Takua Mokhamed

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Detection and Geolocation of Peat Fires Using Thermal Infrared Cameras on Drones by Temitope Sam-Odusina, Petrisly Perkasa, Carl Chalmers, Paul Fergus, Steven N. Longmore, Serge A. Wich

“…This paper describes a deep learning pipeline that detects and segments peat fires in thermal images. …”
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Designing a defensive silence failure model of creative employees in organizations by Azam Khosravi, karam khalili, Esfandyar Mohammadi

“…The 20 main themes that have been identified as influencing factors on breaking the defensive silence of creative employees in government organizations are: facilitating policies, motivational factors, job security, collaborative management, governance of meritocracy, leadership style, improvement of individual skills, organizational learning., strengthening professional ethics, quality of relationships, health of relationships, mutual trust, spirituality in the workplace, creative and critical atmosphere, cooperation culture, consulting and positive organizational psychology, reducing psychological pressures, creating attitudinal changes, changing organizational strategies, and strengthening strategic thinking. …”
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Multicenter validation of an RNA-based assay to predict anti-PD-1 disease control in patients with recurrent or metastatic head and neck squamous cell carcinoma: the PREDAPT study by Howard L McLeod, A Dimitrios Colevas, Georges Azzi, Kevin C Flanagan, Douglas Adkins, Jessica Ley, Ezra E W Cohen, James Wade, Jon Earls, Jeffrey Hiken, Rachel L Wellinghoff, Michelle M Ponder, William H Westra, Vera Vavinskaya, Leisa Sutton, Ida Deichaite, Orlan K Macdonald, Karim Welaya, Andrew W Pippas, Jennifer Slim, Bruce Bank, Xingwei Sui, Steven E Kossman, Todd D Shenkenberg, Warren L Alexander, Katharine A Price, David N Messina, Jarret I Glasscock, Eric J Duncavage

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EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module by Guangxin He, Wei Wu, Jing Han, Jingjia Luo, Lei Lei

“…Aiming to address the limitations of existing deep learning methods in radar echo extrapolation, this paper proposes a spatio-temporal long short-term memory (LSTM) network model that integrates an attention mechanism and the full-dimensional dynamic convolution technique. …”
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A Novel Lateral Control System for Autonomous Vehicles: A Look-Down Strategy by Farzad Nadiri, Ahmad B. Rad

“…A Proportional-Integral-Derivative (PID) controller is designed to maintain the vehicle’s position in the center of the road. We compare this system’s accuracy, lateral steadiness, and computational efficiency against (1) a conventional bird’s-eye view lane detection method and (2) a popular deep learning-based lane detection framework. …”
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Methodology for Studying Neural Network Descriptors in Solving the Problem of Finding Anatomical Layers in Computed Tomography Images of the Lungs by A. A. Kosareva

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Deeply supervised two stage generative adversarial network for stain normalization by Zhe Du, Pujing Zhang, Xiaodong Huang, Zhigang Hu, Gege Yang, Mengyang Xi, Dechun Liu

“…Abstract The color variations present in histopathological images pose a significant challenge to computational pathology and, consequently, negatively affect the performance of certain pathological image analysis methods, especially those based on deep learning techniques. …”
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Ultrawideband Non-Line-of-Sight Classification Using Transformer-Convolutional Neural Networks by Hae-Ji Hwang, Seon-Geun Jeong, Won-Joo Hwang

“…Experimental results on a public dataset show that the proposed model outperforms benchmark methods in widely used evaluation metrics, highlighting its effectiveness in improving non-line-of-sight detection for ultrawideband-based indoor positioning.…”
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The effectiveness of non-attendance triage training based on the ESI-IV system on the knowledge and ability of pre-hospital emergency staff in the academic hospitals of Ahvaz Jundi... by Ali Vefagh Nematollahi, Mofid Hosseinzadeh, Alireza Rafati Navaei, Payam Amini, Maryam Asiaban

“…The results indicate that non-attendance triage training based on the ESI-IV system was effective in the knowledge and ability of the pre-hospital emergency personnel had a positive and significant impact, and remains at a good level. …”
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An Efficient Model for Real-Time Traffic Density Analysis and Management Using Visual Graph Networks by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

“…The paper describes a method for improving urban traffic studies using Real-time Dense Analysis and Management using Visual Graph Networks (RDAMVGN) that utilizes deep learning techniques along with Visual Graph Networks based on visualizations. …”
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University teachers' perceptions of EFL students' engagement in Google Classroom by Mohamed Amin Mekheimer, Eman Mahdy

“…The principal practical contribution of this research lies in its provision of evidence-based recommendations, contextualized for the Middle East and applicable globally, for optimizing online EFL learning by leveraging instructors' positive viewpoints while mitigating identified barriers, thereby fostering inclusive digital classrooms and improving student success.…”
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Bridging foreign language classroom anxiety to Thai students' Chinese language success by Li Pan, Huiqin Luo, Xianyue He, Yan Ye

“…The results showed that FLCAS sub-constructs did not differ significantly between genders but did differ significantly with Chinese learning experience. HSK scores, however, differed significantly by both gender and Chinese learning experience. …”
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Analysing the Influence of Augmented Reality on Organization Performance via Supply and Logistics Value Chain Functions: A Hybrid ANN-PLS Model Assessment in the Gulf Cooperation C... by Ahmad Aburayya

“…This essay looks at how the AR and resource-based supply value chain view may affect company performance across countries, firm sizes, and ages.…”
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