Application of high-level methods of compromise optimization for control of autonomous robotized open pit mining by S. A. Golovin, S. V. Zykov, Yu. P. Korablin, D. A. Kryukov

“…Further, taking into account the nature, scale and scope of the software solution, recommendations are given on high-level architectural templates for the system design, including layers, pipelines and microservices. The proposed architecture-oriented development method is suitable for industrial-level software in various subject areas.…”
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Enhancing drought monitoring through regional adaptation: Performance and calibration of drought indices across varied climatic zones of Iran by Saeed Sharafi, Fatemeh Omidvari, Fatemeh Mottaghi

“…Study focus: This study evaluates the performance of various drought indices, including SPEI (Standardized Precipitation Evapotranspiration Index), Standardized Soil Moisture Index of the top two layers (SSI1 and SSI2), and the Multivariate Standardized Drought Indices (MSDI1 (P&ETref), MSDI2 (P&SM1), and MSDI3 (P&SM2)) models, across six distinct climatic zones using data from 30 basins with 621 gridded points (1979–2022). …”
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Graph-based reinforcement learning for software-defined networking traffic engineering by Jingwen Lu, Chaowei Tang, Wenyu Ma, Wenjuan Xing

“…GRL-TE introduces three key innovations: (1) TopoFlowNet, a graph neural network architecture that models WANs as bipartite graphs with edge nodes representing physical links and path nodes representing candidate paths, enabling efficient bidirectional information propagation through GINConv layers while MLP modules handle collaborative relationships among paths serving the same demand; (2) A one-step A2C mechanism specifically designed for TE with immediate reward structure, eliminating the need for future state estimation and significantly simplifying training; (3) Integration of ADMM as a post-processing step to iteratively reduce constraint violations while improving solution quality. …”
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Deep Learning-Based MRI Brain Tumor Segmentation With EfficientNet-Enhanced UNet by Pradeep Kumar Tiwary, Prashant Johri, Alok Katiyar, Mayur Kumar Chhipa

“…Preserving UNet’s bottleneck compresses EfficientNet’s outputs, while skip connections maintain spatial integrity during decoder upsampling. The decoder reconstructs the original image size by merging encoder-decoder features, refining boundaries with convolutional layers for accurate clinical insights. …”
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Geoinformatics and hydrogeophysical-based delineation of groundwater potential zone through surface and subsurface indicators by Usman Basharat, Wenjing Zhang, Arshad Abbasi, Sehrish Mahroof, Abrar Niaz, Shoukat Husain Khan

“…Groundwater potential zones were delineated by integrating the thematic layers created from the digital elevation model, sentinel 2, geophysical investigations, pre-existing maps, and field survey data into a GIS context. …”
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Metering Automation System 3.0 Base Version Based on Machine Learning by Sheng Li, Leping Zhang, Hang Dai, Lukun Zeng, Yuan Ai, Shuang Qi, Yuanzhai Cui

“…Bidirectional LSTM (BiLSTM) layers then model long-range temporal dependencies in both forward and backward directions, enabling robust contextual analysis of energy consumption sequences. …”
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Implementation of a disease trigger prediction model using AIML for early diagnosis of epilepsy by Aarohi Deshpande, Aarohi Gherkar, Avni Bhambure, Girish Shivhare, Shreyash Kolhe, Bhupendra Prajapati, Shama Mujawar

“…This dual-layered approach not only supports early warning systems but also opens avenues for personalized treatment strategies. …”
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Ingestible devices for oral delivery of biotherapeutics: A Mini Review by Akshay Khandke, Sanika Dhaybar, Avani Mandke, Ananya Joshi, Amol D. Gholap, Amarjitsing Rajput

“…However, oral administration of these macromolecules is challenging due to gastrointestinal (GI) tract degradation due to the harsh pH conditions, digestive enzymes, mucus layers and gastric acid. These barriers cause degradation affect the absorption and reduce the bioavailability of drugs. …”
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Research on Shale Oil Well Productivity Prediction Model Based on CNN-BiGRU Algorithm by Yuan Pan, Xuewei Liu, Fuchun Tian, Liyong Yang, Xiaoting Gou, Yunpeng Jia, Quan Wang, Yingxi Zhang

“…The model incorporates dedicated input pathways: fully connected layers for feature embedding and convolutional operations for high-dimensional feature extraction. …”
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Corrosion Behavior of Mild Steel in Various Environments Including CO₂, H₂S, and Their Combinations by Yuanguang Yue, Zhibiao Yin, Shiming Li, Ziyue Zhang, Qifu Zhang

“…Corrosion leads to deep, narrow pits that weaken the structural integrity without significant surface damage, making it more dangerous than uniform corrosion. …”
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A Hybrid Deep Learning Model for Network Intrusion Detection System Using Seq2Seq and ConvLSTM-Subnets by S. Hariharan, Y. Annie Jerusha, G. Suganeshwari, S. P. Syed Ibrahim, Uday Tupakula, Vijay Varadharajan

“…In addition, to enhance the interpretability of the model, the proposed architecture integrates Explainable Artificial Intelligence (XAI) through Local Interpretable Model-agnostic Explanations (LIME). …”
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A Detection Method for Sweet Potato Leaf Spot Disease and Leaf-Eating Pests by Kang Xu, Yan Hou, Wenbin Sun, Dongquan Chen, Danyang Lv, Jiejie Xing, Ranbing Yang

“…First, a residual module containing three depthwise separable convolutional layers and a skip connection was proposed to effectively retain key feature information. …”
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MobilitApp: A Deep Learning-Based Tool for Transport Mode Detection to Support Sustainable Urban Mobility by Gerard Caravaca Ibanez, Luis J. de la Cruz Llopis, Adrian Catalin Diaconeasa, Alberto Bazan Guillen, Monica Aguilar Igartua

“…Our approach leverages a hierarchical model combining convolutional neural networks (CNNs) for feature extraction and long short-term memory (LSTM) layers for temporal processing, enhanced by skip connections. …”
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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization approaches. …”
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Decoding the therapeutic mechanism of Conocarpus lancifolius in hepatocellular carcinoma: network pharmacology, molecular docking, and LC-MS QTOF insights by Poojaben M. Prajapati, Saumya K. Patel, Rakesh M. Rawal, Komal G. Lakhani, Komal G. Lakhani, Rasmieh Hamid, Bharat B. Maitreya

“…The study also sought to elucidate the multi-layered mechanism of action against hepatocellular carcinoma using network pharmacology analysis, molecular docking, and molecular dynamics simulation. …”
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A Bayesian Network Approach to Predicting Severity Status in Nuclear Reactor Accidents with Resilience to Missing Data by Kaiyu Li, Ling Chen, Xinxin Cai, Cai Xu, Yuncheng Lu, Shengfeng Luo, Wenlin Wang, Lizhi Jiang, Guohua Wu

“…Its hierarchical structure organizes variables across layers, capturing initial conditions, intermediate dynamics, and system responses vital to energy safety management. …”
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Wide-field electromagnetic method for deep hot dry rock fracturing monitoring: penetrating thick low-resistivity overburden by Shiyin Gao, Shiyin Gao, Wubing Deng, Juncheng Wang, Juncheng Wang, Juncheng Wang, Juncheng Wang, Mingzuan Xu, Mingzuan Xu

“…Future work should focus on integrating WFEM with multi-physical data to further improve fracture network characterization.…”
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A Compact Shared-Aperture Antenna With 2-Transmit and 2-Receive Highly-Isolated Ports for Full-Duplex MIMO Systems by Junhui Rao, Zhaoyang Ming, Jichen Zhang, Zan Li, Chi-Yuk Chiu, Ross Murch

“…A novel “inverted mushroom” (IMR) structure, composed of a metallic pillar fence connecting two layers of optimized metal tiles, is introduced at the antenna’s center to suppress the Tx ports MC and ensure effective radiation for Rx ports. …”
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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

“…The MSCBs employ four parallel 1D convolutional layers with different kernel sizes, enabling the model to extract multi-scale features critical for learning patterns in complex environmental data. …”
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Experimental and numerical cure kinetics analysis of unsaturated polyester resin system using compression molding process by Abdallah Barakat, Georges Chahine, Marc Al Ghazal, Romeo Fono Tamo, John Unser, Joshua Hagan, Uday Vaidya

“…The panels were produced through hand layup and consist of PU core, two GF fabric layers, and two thin skin liners of GF sheet molding compound (SMC). …”
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