Efficient workflow scheduling using an improved multi-objective memetic algorithm in cloud-edge-end collaborative framework by Guangzhang Cui, Wei Zhang, Weiwei Xu, Hujun Bao

“…In cloud-edge-end collaborative computing frameworks, efficient workflow scheduling is essential to reducing both server energy consumption and overall makespan. …”
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An efficient enhanced stacked auto encoder assisted optimized deep neural network for forecasting Dry Eye Disease by Steffi Rajan, Suresh Ponnan

“…The experimental evaluation with relevant performance metrics indicates that the proposed method is efficient in diverse aspects: accurate identification, reduced complexity, and fine-tuned performance. …”
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Can deep learning technology really recognize Mpox? A positive response from the EfficientNet model by Xiaoqian Zhao, Xiaoqian Zhao, Long Lyu, Li Zhang, Li Zhang

“…In conclusion, the model proposed in this study effectively balances model’s complexity and inference accuracy. In practical applications, model selection should be based on the specific needs of decision-makers.…”
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Multi-head deep Q-learning for continuous beamforming with selective MC-CDMA operation in V2X highway communications by Nguyen Huu Trung, Nguyen Thuy Anh, Fuqiang Liu

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Exploring genomic feature selection: A comparative analysis of GWAS and machine learning algorithms in a large‐scale soybean dataset by Hawlader A. Al‐Mamun, Monica F. Danilevicz, Jacob I. Marsh, Cedric Gondro, David Edwards

“…Feature selection is important in large genomic data as it helps in enhancing interpretability and computational efficiency. …”
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Mechanisms for selective flotation separation of chalcopyrite and molybdenite using the novel depressant 2-(carbamimidoylthio)acetic acid: Experimental and DFT study by Xiangwen Lv, Anruo Luo, Xiong Tong, Jianhua Chen, Sheng Jian

“…This advancement addresses critical challenges in processing complex ores, offering environmental and economic benefits through reduced reagent consumption and improved resource utilization efficiency.…”
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Resolving Non-Proportional Frequency Components in Rotating Machinery Signals Using Local Entropy Selection Scaling–Reassigning Chirplet Transform by Dapeng Quan, Yuli Niu, Zeming Zhao, Caiting He, Xiaoze Yang, Mingyang Li, Tianyang Wang, Lili Zhang, Limei Ma, Yong Zhao, Hongtao Wu

“…In response to these issues, an enhanced time–frequency analysis approach, termed Local Entropy Selection Scaling–Reassigning Chirplet Transform (LESSRCT), has been developed to improve the representation accuracy for complex non-stationary signals. …”
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Efficiency of three dimension Au–MnO2 nanostructure as visible adsorption based detector of histamine sensing by Siti Febtria Asrini Sugito, Mochamad Zakki Fahmi, Miratul Khasanah, Septianti Putri Sophiar, Jia-yaw Chang, Gasidit Panomsuwan

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A Synergistic Approach to Colon Cancer Detection: Leveraging EfficientNet and NSGA-II for Enhanced Diagnostic Performance by Noushin Saba, Afia Zafar, Mohsin Suleman, Kainat Zafar, Shahneer Zafar, Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Iqbal, Syed Sajid Ullah

“…This study proposes an innovative, automated approach to colon cancer diagnosis by integrating advanced machine learning techniques with deep learning architectures. We employed EfficientNet, a state-of-the-art convolutional neural network, to extract intricate features from histopathological images, alongside the Non-dominated Sorting Genetic Algorithm II for optimal feature selection. …”
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Does Electronic Health Record Implementation Enhance Hospital Efficiency and Patient Outcomes? A Comprehensive Systematic Review by Mohammad Faleh Alharbi

“…The review reveals a complex picture of EHR systems implementations in improving hospital efficiency and patient outcomes. …”
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Micro-nano manufacturing of a pre-identified organic hydrogel surface for selective oil/water separation with ultra-high flux by Yun-yun Song, Jiang-shen Lu, Yang Zhang, Zhao-peng Yu, Yan Liu, Zhong-qiang Zhang

“…The oily wastewater system is complex and most membrane materials cannot separate various oil-water mixtures. …”
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SAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea Reclamation by Junqing Huang, Junqi Bao, Min Xia, Xiaochen Yuan

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Insights into excitonic behavior in single-atom covalent organic frameworks for efficient photo-Fenton-like pollutant degradation by Chao Zhu, Mingzheng Yang, Bo Jiang, Lun Lu, Qile Fang, Yong Zheng, Shuang Song, Baoliang Chen, Yi Shen

“…Abstract The generation of radicals through photo-Fenton-like reactions demonstrates significant potential for remediating emerging organic contaminants (EOCs) in complex aqueous environments. However, the excitonic effect, induced by Coulomb interactions between photoexcited electrons and holes, reduces carrier utilization efficiency in these systems. …”
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Multi-model MCDM framework for sustainable renewable energy selection in India: integrating CRITIC-EDAS-CODAS-CoCoSo by Shankha Shubhra Goswami, T. Tapankumar, N. Channa Keshava Naik, J. Gowrishankar, Nilesh Bhosle, Amrita Singh, G. Sanyasi Raju, D. Nagesh, A. Johnson Santhosh

“…Abstract The global boom in the importance of renewable energy (RE) resources has accelerated the transition from traditional energy sources to sustainable alternatives. Selecting an optimum RE power plant is a complex task influenced by geographical factors, climatic differences, and regional peculiarities. …”
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Optimal Industrial Waste Management Strategy for Pakistan Steel Mill Corporation Using Complex Spherical Fuzzy Einstein Aggregation Information by Ijaz Ur Rahman, Shahzaib Ashraf, Bushra Batool, K. C. Gokul

“…Applying greater generality in the dimensions of the abovementioned applications could potentially enhance a lot of their efficiency. Einstein norms/application of Einstein operations have not been effectively applied within the complex spherical fuzzy sets (CSFSs) framework as such; this study now advances the application of Einstein operators in CSFS which would provide an adiaphorous approach to solving issues related to decision-making problems (DMPs). …”
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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

“…Identifying LRRC through imaging is complex, due to the mismatch between fibrosis and inflammatory pelvic tissue. …”
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SPDC-YOLO: An Efficient Small Target Detection Network Based on Improved YOLOv8 for Drone Aerial Image by Jingxin Bi, Keda Li, Xiangyue Zheng, Gang Zhang, Tao Lei

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Selective disruption of aurora C kinase reveals distinct functions from aurora B kinase during meiosis in mouse oocytes. by Ahmed Z Balboula, Karen Schindler

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PPFL-DCS: Privacy-Preserving Federated Learning Using Neural Transformer and Leveraging Dynamic Client Selection to Accommodate Data Diversity by Nakul Mehta, Nitesh Bharot, John G. Breslin, Priyanka Verma

“…Coping strategies for such challenges frequently involve transferring data to a central location, which raises concerns about latency, efficiency, and privacy. To address these issues, Federated Learning (FL) was developed as a solution to mitigate both the privacy concerns of organizations and the complexities of networked systems. …”
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Efficiency of Therapeutic Use and Mechanisms of Therapeutic Effect of "Essentuki" and "Narzan" Mineral Waters in Various Diseases: a Review by Tatiana V. Konchugova, Tatiana V. Apkhanova, Tatyana V. Marfina, Detelina B. Kulchitskaya, Larisa A. Marchenkova, Valeriia A. Vasileva, Maxim Yu. Yakovlev, Olga M. Musaeva

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