Adaptive Noise Exploration for Neural Contextual Multi-Armed Bandits by Chi Wang, Lin Shi, Junru Luo

“…This paper presents an adaptive noise exploration framework to reduce computational complexity and introduces two novel algorithms: EAD (Exploring Adaptive Noise in Decision-Making Processes) and EAP (Exploring Adaptive Noise in Parameter Spaces). …”
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StomaYOLO: A Lightweight Maize Phenotypic Stomatal Cell Detector Based on Multi-Task Training by Ziqi Yang, Yiran Liao, Ziao Chen, Zhenzhen Lin, Wenyuan Huang, Yanxi Liu, Yuling Liu, Yamin Fan, Jie Xu, Lijia Xu, Jiong Mu

“…Leveraging the YOLOv11 framework, StomaYOLO integrates the Small Object Detection layer P2, the dynamic convolution module, and exploits large-scale epidermal cell features to enhance stomatal recognition through auxiliary training. …”
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Multiscale Attention Feature Fusion Based on Improved Transformer for Hyperspectral Image and LiDAR Data Classification by Aili Wang, Guilong Lei, Shiyu Dai, Haibin Wu, Yuji Iwahori

“…This structure combines the advantages of the Swin transformer, featuring a nonlocal receptive field fusion by progressively expanding the window's receptive field layer by layer while preserving the spatial features of the image. …”
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An updated non-intrusive, multi-scale, and flexible coupling interface in WRF 4.6.0 by S. Masson, S. Jullien, E. Maisonnave, D. Gill, G. Samson, M. Le Corre, L. Renault

“…The first is related to the impact of ocean surface current feedback to the atmospheric boundary layer, and the second concerns the coupling of surface gravity waves with the atmospheric surface layer.…”
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Medical Assistance in Dying for Persons Suffering Solely from Mental Illness in Canada by Chloe Eunice Panganiban, Srushhti Trivedi

“…This extension ignited discussion on whether MAiD for persons who have mental illness as a sole underlying medical condition in Canada is ethically acceptable. As a complex, multi-faceted, and interdisciplinary issue, ethicists assessing MAiD must take into account various moral obligations and considerations. …”
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MCFNet: Multi-Scale Contextual Fusion Network for Salient Object Detection in Optical Remote Sensing Images by Jinting Ding, Yueqian Quan, Honghui Xu

“…Despite increasing attention, salient object detection for optical remote sensing images (ORSI-SOD) remains highly challenging due to the intrinsic complexities of remote sensing scenes. In particular, severe variations in object scale and quantity, cluttered backgrounds, and irregular object morphologies significantly hinder accurate target localization and boundary delineation. …”
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The Establishment of Religious Landscapes and Local Social Life in Nanshan and Beishan, Dazu District, in the Song Dynasty by Jie Zhou

“…By systematically examining the spatio-temporal evolution of the stone-carving complexes and the network of inscriptions, it reveals that the religious landscape of Dazu is, in essence, the outcome of the cumulative layering of political power, economic resources, and cultural aspirations across diverse historical periods. …”
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Maksimovka I Grave Field (Forest-Steppe Volga Region): Results of the 2019 Excavations by Arkadii I. Korolev, Anton A. Shalapinin

“…To facilitate this, the paper shall describe and characterize the investigated archaeological complexes, establish their cultural and chronological attributions. …”
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Secure edge-based smart grid communication using lightweight authentication modeling with autoencoders and real-world data by Omar Abdullah Saleh, Mesut Cevik

“…Abstract The growing use of edge computing in intelligent grids presents security issues as a result of the limited processing capabilities of edge devices and the intensifying complexities of cyberattacks. The conventional authentication schemes based on cryptographic protocols have excessive computational overhead, rendering them inappropriate for real-time grid communication. …”
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A Style Transfer Method for Chinese Landscape Painting Based on Detail Feature Extraction and Fusion by Jinghao HU, Guohua GENG, Meijun XIONG, Siyi LI, Yuhe ZHANG

“…This approach introduces the Swin–Transformer within the StyTr² network framework and uses the visual transformer to preserve the features of landscapes. In addition, the layered architecture of the Swin–Transformer and the sliding window attention mechanism are utilized to extract finer details of the artistic features of landscape paintings while reducing the model’s training complexity. …”
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Enhanced Channel Estimation for RIS-Assisted OTFS Systems by Introducing ELM Network by Mintao Zhang, Zhiying Liu, Li Wang, Wenquan Hu, Chaojin Qing

“…Nevertheless, the integration of RIS into OTFS systems increases the complexity of channel estimation (CE). Utilizing the benefits of machine learning (ML) to address such intricate issues holds the potential to reduce CE complexity. …”
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A Deep Learning Algorithm for Multi-Source Data Fusion to Predict Effluent Quality of Wastewater Treatment Plant by Shitao Zhang, Jiafei Cao, Yang Gao, Fangfang Sun, Yong Yang

“…The operational complexity of wastewater treatment systems mainly stems from the diversity of influent characteristics and the nonlinear nature of the treatment process. …”
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Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification. by M Amudha, K Brindha

“…The classification module integrates a Hessian-based Optimal Brain Surgeon (HOBS) approach with a pruned Extreme Learning Machine (ELM), optimizing network parameters while reducing computational complexity. The proposed pruned model gives an accuracy of 95.73%, Cohen's kappa of 0.81%, training time of 2.35sec on Plant Village dataset, comprising 8,000 leaf images across 10 distinct classes of tomato plant, which demonstrates that this framework effectively reduces the model's size of 9.2Mb and parameters by reducing irrelevant connections in the classification layer. …”
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A Lightweight GCT-EEGNet for EEG-Based Individual Recognition Under Diverse Brain Conditions by Laila Alshehri, Muhammad Hussain

“…The proposed model maintains low parameter complexity while keeping the expressiveness of representations, even with unseen subjects.…”
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Hierarchical proxy consensus optimization for IoV based on blockchain and trust value by Baoqin ZHAI, Jian WANG, Lei HAN, Jiqiang LIU, Jiahao HE, Tianhao LIU

“…With the rapid development of Internet of vehicles, 5G and artificial intelligence technologies, intelligent transportation has become the development trend of transportation technology.As a vehicle-vehicle and vehicle-road information interaction platform, the Internet of vehicles is the basic support platform for intelligent traffic information sharing and processing.At the same time, the security of Internet of vehicles has attracted much attention, especially data security which may cause user privacy leakage.The blockchain technology has become a solution, but it still faces new challenges in efficiency, security and other aspects.With the increase of vehicle nodes and information, how to efficiently achieve information consensus in high-speed vehicle moving environment has become a key problem.Then a bottom-up RSU (road side unit) chain consensus protocol was proposed based on blockchain and trust value.Several typical consensus structures were compared, and bottom-up two-layer consensus structure was adopted according to the actual scenarios of the Internet of vehicles.Moreover, a group leader node election algorithm was proposed which is based on node participation, work completion and message value.The system security was ensured by assigning trust value to each vehicle.Following the consensus structure and algorithm work mentioned above, the specific process of the protocol was comprehensively described, which was divided into six steps: region division, group leader node selection, local consensus, leader primary node selection, global consensus, and intra-domain broadcast.Then the experiments were analyzed from four aspects: security, communication complexity, consensus algorithm delay and fault tolerance rate.Experiments showed that, compared with other schemes, the proposed protocol can effectively reduce communication complexity and shorten consensus delay under the condition of resisting conspiracy attack, witch attack and other attacks.On the premise of security, the protocol improves fault tolerance rate and enables more nodes to participate in information sharing to satisfy the requirements of Internet of vehicles scenarios.…”
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Organic Photoelectric Materials and Organic Photoelectric Devices Based on Smart Image Sensors by Gang Huang

“…The experimental results show that using PVK without energy transfer, polyvinyl carbazole (PVK) had been widely used as blue luminescent material and hole transport layer in electroluminescent device research. Simple mononuclear platinum and iridium metal complexes cannot obtain white light. …”
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Two-Stream Modality-Based Deep Learning Approach for Enhanced Two-Person Human Interaction Recognition in Videos by Hemel Sharker Akash, Md Abdur Rahim, Abu Saleh Musa Miah, Hyoun-Sup Lee, Si-Woong Jang, Jungpil Shin

“…Despite its significance, video-based HIR faces challenges in achieving satisfactory performance due to the complexity of human actions, variations in motion, different viewpoints, and environmental factors. …”
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FORMAL REPRESENTATION OF THE PIXEL-BY-PIXEL CLASSIFICATION PROCESS USING A MODIFIED WANG-MENDEL NEURAL NETWORK by Oleksii Kolomiitsev, Volodymyr Pustovarov

“…To do this, the third layer is represented as a set of several pairs of adder neurons, and the fourth implements several normalizing neurons, the number of which corresponds to the number of pairs of the third layer. …”
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Research on Method for Intelligent Recognition of Deep-Sea Biological Images Based on PSVG-YOLOv8n by Dali Chen, Xianpeng Shi, Jichao Yang, Xiang Gao, Yugang Ren

“…Nonetheless, the inherent complexities of the deep-sea environment, the scarcity of available deep-sea organism samples, and the significant refraction and scattering effects of underwater light collectively impose formidable challenges on the current detection algorithms. …”
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ZEMBA v1.0: an energy and moisture balance climate model to investigate Quaternary climate by D. F. J. Gunning, K. H. Nisancioglu, E. Capron, R. S. W. van de Wal, R. S. W. van de Wal

“…The model is based on an energy balance model comprising an atmospheric layer, a land component and a two-dimensional ocean transport model with sea ice. …”
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