Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques by Arso M. Vukicevic, Milos Petrovic, Nebojsa Jurisevic, Marko Djapan, Nikola Knezevic, Aleksandar Novakovic, Kosta Jovanovic

“…The proposed two-step procedure for generic versatile visual waste sorting is based on the SAM architectures (original SAM, FastSAM, MobileSAMv2, and EfficientSAM) for waste object extraction from raw images, and the use of classification architecture (MobileNetV2, VGG19, Dense-Net, Squeeze-Net, ResNet, and Inception-v3) for accurate waste sorting. …”
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Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas by P. Casas-Gómez, J.F. Torres, J.C. Linares, A. Troncoso, F. Martínez-Álvarez

“…Our methodology includes rigorous hyperparameter tuning to optimize the Deep Learning models’ architecture. We evaluate the models’ performance across 15 species in the Himalayan region, individually and collectively, using temperature and precipitation data as predictors. …”
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Localization of the quantitative trait loci related to lodging resistance in spring bread wheat (<i>Triticum aestivum</i> L.) by I. N. Leonova, E. V. Ageeva

“…Therefore, the study of the genetic architecture of the trait becomes necessary for the creation and improvement of modern wheat varieties. …”
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Study on static characteristics of a novel prestress-reinforced railway subgrade by Junli Dong, Fang Xu, Qishu Zhang, Wuming Leng, Yafeng Li, Qi Yang

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Membrana preformativa: Unveiling the unexplored facets of dental development by Sakshi Sikaria, Suganya Panneer Selvam, Ramya Ramadoss, Sandhya Sundar

“…Subsequently, the tissues were processed and subjected to Hematoxylin and Eosin staining to facilitate enhanced visualization of the overall tissue architecture and organization &amp; immunohistochemical staining of Ki-67 and Cyclin D1 was performed. …”
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Evaluation of tensile strength variability in fiber reinforced composite rods using statistical distributions by Hao Qin, Thierno Aliou Ka, Xiang Li, Kangxin Sun, Kaiqiang Qin, Sarkar Noor E Khuda, T. Tafsirojjaman

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Heuristic Forest Fire Detection Using the Deep Learning Model with Optimized Cluster Head Selection Technique by Sengottaiyan N., Ananthi J., Rajesh Sharma R., Hamsanandhini S., Sungheetha Akey, Chinnaiyan R., Ketema Adare Gemeda

“…These parameters are processed through a sophisticated neural network architecture designed to identify patterns and correlations that signify the likelihood of a forest fire. …”
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Application of Nighttime Light Data Simulation Based on Multi-Indicator System and Machine Learning Model in Predicting Potentially Suitable Economic Development Areas: A Case Stud... by Guangpeng Zhang, Li Zhang, Yiyang Chen, Meng Chen, Jingjing Tian, Yin Wu

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Landscape Patterns and Ecosystem Services Are Critical for Contributions to Sustainable Development Goals by Xue Miao, Zihao Guo, Congbin Leng, Jinliang Hou, Qingping Cheng, Hede Gong

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Russia and NATO’s ‘Open Door’ Policy in the Post-Bipolar Period by P. Ye. Smirnov

“…The author concludes that NATO enlargement has had an ambiguous impact on both the European security architecture, and the alliance itself. On the one hand, it gave the United States new opportunities to project power and consolidate its hegemonic status in Europe. …”
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Study on the Effect of Unilateral Sand Deposition on the Spatial Distribution and Temporal Evolution Pattern of Temperature beneath the Embankment by Ling Chen, Hong Yu, Xiaolin Li, Zekun Ding

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The process and logical mechanism of agricultural production space contraction in mountainous areas based on actor-network theory：A case study of Lishi Village in Longde County, Ni... by CHEN Kunqiu, CHEN Yunya, LIANG Yajia, ZHENG Yuhan

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Fortifying IoT Infrastructure Using Machine Learning for DDoS Attack within Distributed Computing-based Routing in Networks by Sharaf Aldeen Abdulkadhum Abbas, Abdullahi Abdu Ibrahim

“…The aim of this paper is to analyze the architecture of attack detection that are deployed in the IoT network and correspondingly demonstrate whether their function is to track and follow or even attack subjects. …”
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Frequency and Texture Aware Multi-Domain Feature Fusion for Remote Sensing Scene Classification by Russo Ashraf, Kang-Hyun Jo

“…Delving into these complexities, the Efficient Spectral Inception Former (ESIF) architecture is proposed, which introduces a novel paradigm to RS scene classification by integrating multi-domain feature fusion of the spatial, texture, and spectral (frequency) domains. …”
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Optimization Configuration Model for Intelligent Measurement Multi-Core Modules Considering &#x201C;Cloud-Edge-End-Core&#x201D; Collaboration by Lai Zhou, Qinhao Li, Guoying Lin

“…Initially, a technical framework for &#x201C;cloud-edge-end-core&#x201D; collaboration in intelligent measurement is designed, expanding the conventional &#x201C;cloud-edge-end&#x201D; vertical cooperation architecture with multi-core module collaboration and horizontal synergy at the same hierarchical level to enhance the flexibility of data interaction. …”
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France in the EU Economic System: The Peerless Second by O. V. Butorina

“…This article seeks to examine the evolving role of France within the EU’s economic architecture, identify critical long-term trends, and forecast possible realignments in the balance of power within EU economic governance. …”
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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection by Jiayi Zheng, Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang, Gang Wang

“…The MG-SNN can learn to identify potential regions of moving targets through motion saliency estimation and subsequently integrates the information into the popular object detection algorithms to design the retinal-inspired spiking neural network module for drone motion extraction and object detection architecture, which integrates motion and spatial features before object detection to enhance detection accuracy. …”
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Overestimating Impacts of Urbanization on Regional Temperatures in Developing Megacity: Beijing as an Example by Wei Cao, Lin Huang, Lulu Liu, Jun Zhai, Dan Wu

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The Role of PPARs in Lung Fibrosis by Heather F. Lakatos, Thomas H. Thatcher, R. Matthew Kottmann, Tatiana M. Garcia, Richard P. Phipps, Patricia J. Sime

“…Pulmonary fibrosis is a group of disorders characterized by accumulation of scar tissue in the lung interstitium, resulting in loss of alveolar function, destruction of normal lung architecture, and respiratory distress. Some types of fibrosis respond to corticosteroids, but for many there are no effective treatments. …”
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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition by George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos

“…IncSAR combines the power of a Vision Transformer (ViT) and a custom-designed Convolutional Neural Network (CNN) in a dual-branch architecture, integrated via a late-fusion strategy. …”
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