Cword2vec: a novel morphological rule-based word embedding approach for Urdu text sentiment analysis by Saquib Khushhal, Abdul Majid, Syed Ali Abass, Rabia Riaz, Mohammad Babar, Shafiq Ahmad

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Application of machine learning in the determination of rock brittleness for CO2 geosequestration by Efenwengbe Nicholas Aminaho, Mamdud Hossain, Nadimul Haque Faisal, Reza Sanaee

“…In this study, an algorithm was developed to generate numerical simulation datasets for a more reliable machine learning model development, and an artificial neural network (ANN) model was developed to evaluate the brittleness index of rocks using data from numerical simulations of CO2 geosequestration in sandstone and carbonate reservoirs, overlain by shale caprock. …”
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A GAN Guided NCCT to CECT Synthesis With an Advanced CNN-Transformer Aggregated Generator by Haozhe Wang, Dawei Gong, Rongzhen Zhou, Junbo Liang, Ruili Zhang, Wenbin Ji, Sailing He

“…The main contributions of this paper are as follows: 1) We designed a GAN-guided CNN-Transformer aggregation network called GCTANet for the CECT image synthesis task. …”
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LMD²F-Net: Layered Multi-Scale Dual-Branch Dual-Temporal Fusion Network for Medical Image Segmentation by Siyuan Ye, Yan Wei

“…Image segmentation techniques play a crucial role in medical image analysis, directly impacting disease diagnosis, treatment planning, and efficacy evaluation. Although Convolutional Neural Networks (CNNs) and transformer-based approaches have made significant progress in this area, the inherent complexity of medical images, which include features such as low contrast, fuzzy boundaries, and noise, makes automated segmentation tasks challenging. …”
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TRENDS IN HUMAN CAPITAL FORMATION AND EVALUATION OF THE INTERCONNECTION OF SOCIO-DEMOGRAPHIC PROCESSES IN RURAL AREA: A CASE STUDY OF VOLYN REGION, UKRAINE by Tetiana SHMATKOVSKA, Mykola DZIAMULYCH, Antonina GORDIICHUK, Nataliia MOSTOVENKO, Natallia CHYZH, Tetiana KOROBCHUK

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A Data-Driven Approach for Predicting Remaining Useful Life of Semiconductor Devices Based on Machine Learning and Synthetic Data Generation: A Review and Case Study on SiC MOSFETs by Yarens J. Yarenscruz, Fernando Castano, Alberto Villalonga, Madhav Mishra, Rodolfo E. Haber

“…This model outperformed other state-of-the-art algorithms using only 4 out of 22 features, demonstrating the effectiveness of the feature selection procedure, the data augmentation method, and the neural network architecture for this case study.…”
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Evaluating the role of training data origin for country-scale cropland mapping in data-scarce regions: A case study of Nigeria by Joaquin Gajardo, Michele Volpi, Daniel Onwude, Thijs Defraeye

“…To address this, we evaluate the impact of combining global and local datasets for cropland mapping in Nigeria at 10 m resolution. …”
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Assessment and analysis of factors influencing suicidal ideation in young adults: a large cohort study using an elastic network logistic regression model by Zixuan Guo, Xiaoli Han, Tiantian Kong, Yan Wu, Yimin Kang, Yanlong Liu, Fan Wang

“…Then, general demographic data was recorded. An elastic network (EN) was used to optimize feature selection, combined with logistic regression, to determine the influencing factors associated with SI in young adults. …”
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A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models by Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour

“…This research proposes three key contributions: The IMGO method is enhanced using several hybrid tactics to improve local search capabilities and increase exploration of significant regions within the feature space. Subsequently, the architecture of the multilayer feedforward artificial neural network is developed. …”
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Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays by Tarek Kandil, Adam Harris, Remon Das

“…Numerical relays (NRs) are used to detect faults in power system networks and isolate the power to prevent grid instability in the event of a fault. …”
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Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network by Binbin ZHANG, Zhuyun CHEN, Fei ZHANG, Gang JIN

“…The proposed model effectively learns the intricate mapping relationship between sensory data and melt density by amalgamating these multi-source sensory inputs and using the feature extraction capabilities of convolutional neural networks and the temporal dependencies modeling capabilities of LSTM networks.Results and Discussions The application of the proposed method demonstrates significant efficiency in real-time monitoring of polymer melt density by monitoring the melt density during the PC/ABS blending extrusion process. …”
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Multi-physiological signal fusion for objective emotion recognition in educational human–computer interaction by Wanmeng Wu, Enling Zuo, Weiya Zhang, Xiangjie Meng

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Electronic Health Data Records for Diabetes Patients Based on Deep Learning Models: A Review by Dalal Hamid, Mohammed Younis

“…Various deep learning models, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), have been evaluated for their effectiveness in handling EHR data and predicting clinical outcomes. …”
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Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types by Jurgita Gammall, Alvina G. Lai

“…More than 500 prognostic features were assessed and four machine learning algorithms including Elastic Net Cox proportional hazards regression, random survival forest, gradient boosting survival and DeepSurv neural network were developed in this study. …”
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Hybrid EXGBStackQoE Classifier and Stackelberg Game-Theoretic Approaches for Enhanced QoE in Video Services Over 5G Wireless Networks by K. B. Ajeyprasaath, Vetrivelan Pandu

“…This hybrid model demonstrates an accuracy improvement of 5–7% compared to traditional models, establishing a new standard in QoE evaluation. Additionally, the framework incorporates a Stackelberg Game-based Software-Defined Networking (SbSG) model designed for efficient data offloading in 5G Macro Base Stations (MBS). …”
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Functional and microstructural neurosubstrates between apathy and depressive symptoms in dementia by Sheng-Min Huang, Yen-Hsuan Hsu, Jir-Jei Yang, Chien-Yuan Lin, Min-Chien Tu, Li-Wei Kuo

“…Comparing low-AES and high-AES groups, fALFF indicated pervasive changes mainly within the default mode network (DMN) and frontoparietal network (FPN). Comparing low-BDI and high-BDI groups, fALFF reflected changes within the DMN, FPN, and salience network (SAN). …”
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Spiral Dynamics of the Development of the Process of Intellectualization in the Context of Globalization Changes: Methodological Aspects by Shepelenko Svitlana M.

“…The influence of globalization factors on the processes of intellectualization is studied, emphasizing the role of information technology, network society and knowledge economy. The article allocates that the synergetic evolution of human potential is based on different phases of order (stability – homeostasis) or chaos (crisis, danger) under the influence of endogenous and exogenous environment. …”
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Development of an interpretable model for foot soft tissue stiffness based on gait plantar pressure analysis by Xiaotian Bai, Xiao Hou, Dazhi Lv, Dazhi Lv, Jialin Wei, Jialin Wei, Yiling Song, Zhengyan Tang, Hongfeng Huo, Hongfeng Huo, Jingmin Liu

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Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer by Mohd Herwan Sulaiman, Zuriani Mustaffa

“…The study compares the proposed CNN-LSTM-BMO against other metaheuristic optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Differential Evolution (DE). The models were evaluated using comprehensive performance metrics and validated through statistical analysis. …”
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GrotUNet: a novel leaf segmentation method by Hongfei Deng, Hongfei Deng, Bin Wen, Bin Wen, Cheng Gu, Yingjie Fan

“…The multi-scale upsampling fusion design mechanism incorporates higher-order feature maps into each shallow decoding sub-network, effectively mitigating the loss of semantic parsing information of feature maps. …”
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