Internet of Things Smart Beehive Network: Homogeneous Data, Modeling, and Forecasting the Honey Robbing Phenomenon by Igor Kurdin, Aleksandra Kurdina

“…This highlights the need to balance IoT energy consumption, functionality, and continuous monitoring. We present a novel IoT-based bee monitoring system architecture that has been operating continuously for several years, using solar energy only. …”
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Streamlining Visual UI Design: Mining UI Design Patterns for Top App Bars by Ming Li, Zhenbo Zhang, Tao Lin

“…However, designing a well-structured TAB presents a challenge, particularly for novice UI designers, due to the need to balance aesthetics, functionality, usability, and user experience within a limited space. …”
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HawkEye: AI-Driven Software for Objective Analysis and Characterization of Nodular Cast Iron Microstructures by Javier Nieves, Antonio Serena-Barriuso, Guillermo Elejoste-Rementeria

“…This study introduces HawkEye, a comprehensive software solution that automates metallographic analysis using advanced computer vision and deep learning models. Specifically, HawkEye software dynamically adapts its processing workflow based on the input image and its typological classification. …”
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Deep deterministic policy gradient-based automatic negotiation framework for shared decision-making by Xin Chen, Ping Lu, Yong Liu, Fei-Ping Hong

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Autonomous Driving Road Environment Recognition with Multiscale Object Detection by Jeny J.R.V., Divya Phulari, Varsha Kolanu, Mrunalini Anantha, Irfan S.K.M.

“…Ensuring precise perception of the surrounding road environment is crucial for the safe functioning of autonomous vehicles in the domain of autonomous driving. …”
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Assessing The Feasibility of a Web-Based Interactive Writing Assessment (WISSE): An Evaluation of Media and Linguistic Aspects by Hamamah, Rafidah Sahar, Ive Emaliana, Yulia Hapsari, Putu Dian Danayanti Degeng

“…Trials focused on evaluating media aspects (usability, functionality, visual communication) and linguistic aspects (technical language, grammar, word choice). …”
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Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware by Gati Lother Martin, Sang-Min Lee, Jong-Hyun Kim, Young-Seob Jeong, Ah Reum Kang, Jiyoung Woo

“…Initially, we develop MalCode2Vec to learn associations between source codes and represent them as numeric vectors. …”
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Automated Segmentation of Acute Ischemic Stroke Using Attention U-net with Patch Mechanism by CINAR, N., UCAN, M., KAYA, B., KAYA, M.

“…This paper addresses ischemic stroke detection using deep learning techniques to interpret medical images like MRI and CT scans, with a focus on segmentation. …”
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Analysis of plant metabolomics data using identification‐free approaches by Xinyu Yuan, Nathaniel S. S. Smith, Gaurav D. Moghe

“…This bottleneck limits our ability to fully understand the diversity, functions, and evolution of plant metabolites. In this review, we first summarize current approaches for metabolite identification, highlighting their challenges and limitations. …”
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Neighbor interaction-based personalised transfer for cross-domain recommendation by Kelei Sun, Yingying Wang, Mengqi He, Huaping Zhou, Shunxiang Zhang

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Network-Based Hierarchical Feature Augmentation for Predicting Road Classes in OpenStreetMap by Müslüm Hacar, Diego Altafini, Valerio Cutini

“…In our evaluation, conducted across diverse urban landscapes in six cities in Italy and Türkiye, we tested two geometry-, six centrality-, and eight semantic-based features to predict road functional classes stored as a <i>highway = *</i> key in OSM. …”
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Exploring voice as a digital phenotype in adults with ADHD by Georg G. von Polier, Eike Ahlers, Julia Volkening, Jörg Langner, Kaustubh R. Patil, Simon B. Eickhoff, Florian Helmhold, Agnieszka Ewa Krautz, Daina Langner

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ViT–KAN Synergistic Fusion: A Novel Framework for Parameter- Efficient Multi-Band PolSAR Land Cover Classification by Songli Han, Dawei Ren, Fan Gao, Jian Yang, Hui Ma

“…Deep learning has shown significant potential in multi-band Polarimetric Synthetic Aperture Radar (PolSAR) land cover classification. …”
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Lightweight CNC digital process twin framework: IIoT integration with open62541 OPC UA protocol by Arivazhagan Anbalagan, Waqir Yusuf Zanhar, Shone George, Marcos Kauffman, Tengfei Long

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Tomato-Nerf: Advancing Tomato Model Reconstruction With Improved Neural Radiance Fields by Xiajun Zheng, Xinyi AI, Hao Qin, Jiacheng Rong, Zhiqin Zhang, Yan Yang, Ting Yuan, Wei Li

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A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle by Shayan Hassanpour, Matthias Hummert, Dirk Wubben, Armin Dekorsy

“…To that end, tractable objective functions are developed, together with the pertinent learning architectures, generalizing the concepts of Variational Auto-Encoders and (Distributed) Deep Variational Information Bottleneck for (remote) source coding to the context of distributed joint source-channel coding. …”
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UKRAINIAN TECHNICAL AND ECONOMIC INSTITUTE IN 1932–1952 by Olexandr Utkin

“…In 1952 the Institute was relocated to the United States of America. There it functioned as a research institution.…”
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LUCID: A Framework for Reducing False Positives and Inconsistencies Among Container Scanning Tools by Md Sadun Haq, Ali Saman Tosun, Turgay Korkmaz

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Smart Grid Security: Proactive Prediction of Advanced Persistent Threats by Motahareh Dehghan, Erfan Khosravain

“…These threats, characterized by their stealth and persistence, can compromise the integrity and functionality of critical grid infrastructure. This paper proposes the use of Deep Reinforcement Learning to enhance cybersecurity in smart grids by leveraging the ProAPT model, which is specifically designed to predict and mitigate Advanced Persistent Threats. …”
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Cross-Modal Insights into Urban Green Spaces Preferences by Jiayi Yan, Fan Zhang, Bing Qiu

“…This study explores a cross-modal methodology that integrates natural language processing (NLP) and deep learning techniques to analyze text and image data collected from public reviews of 19 urban parks in Nanjing. …”
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