An enhanced GhostNet model for emotion recognition: leveraging efficient feature extraction and attention mechanisms by Jie Sun, Tianwen Xu, Yao Yao

“…The EGT model integrates GhostNet's efficient feature extraction, the Transformer's ability to capture global context, and a dual attention mechanism to selectively enhance critical features. …”
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CRITERIA FOR SELECTION OF ALLOYING COMPONENTS AND BASE COMPOSITIONS FOR MANUFACTURING OF MECHANICALLY ALLOYED DISPERSION-STRENGTHENED MATERIALS ON THE BASIS OF METALS by F. G. Lovshenko, G. F. Lovshenko

“…Experimental investigations have shown that an optimum complex of mechanical properties is obtained in the case when nano-sized strengthening phase is equal to 3–5 % (volume). …”
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Implementation of Fuzzy Multiple Attribute Decision Making (FMADM) and Simple Additive Weighting (SAW) for Selecting the Best Stocks by Saddam Ali Habibie Nasution, Sriani Sriani

“…Such analysis involves various complex financial indicators. This study combines the Fuzzy Multiple Attribute Decision Making (FMADM) method and the Simple Additive Weighting (SAW) method to assist investors in selecting the best stocks in the banking sector. …”
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SCM-DL: Split-Combine-Merge Deep Learning Model Integrated With Feature Selection in Sports for Talent Identification by Didem Abidin, Muhammed G. Erdem

“…The SCM-DL integrated with the RFE_DTC feature selection method achieved the highest performance for six features, yielding an accuracy rate of 97.40% and a Matthews Correlation Coefficient performance rate of 96.6%. …”
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Engineered Magnetic-Functionalized Carbon Xerogels for Sustainable Arsenic Removal: Bridging Adsorption Efficiency with Regenerability by Sasirot Khamkure, Prócoro Gamero-Melo, Audberto Reyes-Rosas, Alejandro Zermeño-González, José Luis Álvarez-Cruz, Elim Albiter Escobar, Gabriela Eleonora Moeller-Chávez, Victoria Bustos-Terrones

“…Synergistic effects of magnetite incorporation, tailored pyrolysis, and H₂O₂ modification significantly improved arsenic selectivity and capacity in complex matrices, while enabling magnetic recovery.…”
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An Effective and Interpretable Sleep Stage Classification Approach Using Multi-Domain Electroencephalogram and Electrooculogram Features by Xin Xu, Bei Zhang, Tingting Xu, Junyi Tang

“…Recent research efforts on automated sleep staging have focused on complex deep learning architectures that have achieved modest improvements in classification accuracy but have limited real-world applicability due to the complexity of model training and deployment and a lack of interpretability. …”
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Measuring and Improving the Efficiency of Python Code Generated by LLMs Using CoT Prompting and Fine-Tuning by Ramya Jonnala, Jeong Yang, Young Lee, Gongbo Liang, Zechun Cao

“…Based on its promising performance with CoT prompting, we selected the GPT-4o-Mini model for subsequent fine-tuning, aiming to further enhance both its computational efficiency and accuracy. …”
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Unconventional phase metal heteronanostructures with tunable exposed interface for efficient tandem nitrate electroreduction to ammonia by Yangbo Ma, Liang Guo, Liang Chang, Weihua Guo, Tao Zhou, Fengkun Hao, Wenda Su, Jingwen Zhou, Guozhi Wang, Mingzheng Shao, Jihan Yu, Jinwen Yin, Yunhao Wang, Fu Liu, An Zhang, Kun Qian, Jie Wang, Xiuyun Zhang, Weijia Zhou, Shengqi Chu, Chongyi Ling, Lin Gan, Zhengxiao Guo, Zhanxi Fan

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Integration of Carbon Nanotubes into Manganese Dioxide Nanorods for Enhanced Enzymeless Electrochemical Glucose Sensing with High Sensitivity and Selectivity by Khawtar Hasan Ahmed, Alonso Moreno Zuria, Mohamed Mohamedi

“…These factors enable more efficient, scalable, and durable sensors with better sensitivity, stability, and affordability for real-time glucose monitoring. …”
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Crayfish optimization based pixel selection using block scrambling based encryption for secure cloud computing environment by Vikas K. Soman, V. Natarajan

“…The Crayfish Optimization algorithm is used to select the most suitable pixels for steganography, ensuring that the secret image is embedded in a way that minimizes detection. …”
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Performance validation of microchannel heat sinks based on single/multiobjective topology optimization and manufactured by selective laser melting by Guangzhao Yang, Mingxuan Cao, Pingnan Huang, Linlin Pan, Xin Zhong, Liang Yang, Weiwei Guo, Matthew M.F. Yuen, Huijun Li

“…This study confirms that the P3D-MOTO provides efficient and energy-saving thermal management solutions, while emphasizing that the integration of topology optimization with SLM can create complex geometries, thereby enhancing thermal performance.…”
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A data-centric and interpretable EEG framework for depression severity grading using SHAP-based insights by Anruo Shen, Jingnan Sun, Xiaogang Chen, Xiaorong Gao

“…However, most EEG-based machine learning diagnostic studies focus on boosting classification accuracy through complex algorithms and small, homogenous datasets. …”
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Negotiation impact in Supply Chain Management by Elena-Simona Ionel

“…It is determining critical decisions like supplier selection, contract terms, pricing, warranty, liability and dispute resolution becoming key activity in aligning with stakeholders objectives and mitigating risks in complex global markets. …”
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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques by Rabiu Aminu, Samantha M. Cook, David Ljungberg, Oliver Hensel, Abozar Nasirahmadi

“…The concept of explainable artificial intelligence was adopted by incorporating permutation feature importance ranking and Shapley Additive explanations values to identify the feature set that optimized a model's performance while reducing computational complexity. The proposed explainable artificial intelligence feature selection method was compared to conventional feature selection techniques, including mutual information, chi-square coefficient, maximal information coefficient, Fisher separation criterion and variance thresholding. …”
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Genotypic and Phenotypic Association of Agronomic Features in Triticale Genotypes under Drought Stress Conditions by Hassan Basiri, Omid Alizadeh, Forud Bazrafshan, Mehdi Zare, Mohammad Yazdani

“…However, creating diversity, selecting genotypes, and studying different traits will help scientists in this direction. …”
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Multicarrier dual-index permuted chaos shift keying system for efficiency improvement in chaotic communications by Bavatharani Gurusamy, Laxmikandan Thangavelu, Manimekalai Thirunavukkarasu

“…The proposed system improves the energy andspectrum efficiencies with a tradeoff in computational complexity. …”
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Balancing cleaner energy and geopolitical interests in the complex transition of the European electricity mix: from Fukushima to the Ukraine war by Marcio Cataldi, Nieves Espinosa, Sonia Jerez, Juan Pedro Montávez, Larissa Haringer Martins Da Silveira, Jairton Dupont, Marcos Alexandre Teixeira

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AutoML based workflow for design of experiments (DOE) selection and benchmarking data acquisition strategies with simulation models by Xukuan Xu, Donghui Li, Jinghou Bi, Michael Moeckel

“…Results obtained from electrical circuit models with varying complexity show that not all AL sampling strategies outperform conventional DOE strategies, depending on the available data volume, the complexity of the dataset, and data uncertainties. …”
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Efficient automated detection of power quality disturbances using nonsubsampled contourlet transform & PCA-SVM by Pampa Sinha, Kaushik Paul, Asit Mohanty, IM Elzein, Chandra Sekhar Mishra, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Ahmed Althobaiti, Hany S Hussein, Thamer AH Alghamdi, Ahmed M Ewais

“…The proposed approach demonstrates superior frequency selectivity, adaptability, and computational efficiency, making it suitable for robust PQ disturbance identification and a wide range of signal-processing tasks.…”
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Transforming higher education with robotic process automation: enhancing efficiency, innovation, and student-centered learning by Vivek Bhardwaj, Mukesh Kumar

“…The findings underscore the transformative potential of RPA while highlighting the complexities of its integration into educational settings. …”
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