Few-Shot Transfer Learning-Based Fault Classification in Wireless Sensor Networks by Nouman Ijaz, Md. Nazmul Hasan, Insoo Koo

“…The proposed model is lightweight and deployable on Internet of Things (IoT) devices, ensuring efficient fault classification with minimal computational resources. …”
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Characterizing Repeats in Two Whole-Genome Amplification Methods in the Reniform Nematode Genome by S. T. Nyaku, V. R. Sripathi, K. Lawrence, G. Sharma

“…In this research, two whole-genome amplification (WGA) methods were evaluated for their efficiencies in DNA amplification from a single reniform nematode. …”
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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…In this study, advanced compositional models were developed using a broad range of machine learning (ML) techniques to predict Rs efficiently and reliably. A comprehensive database of 1,154 data points was utilized for modeling. …”
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Utilization of the neighborhood design to evaluate suitable cover crops and their density for Echinochloa colona management. by Amar Matloob, Bhagirath Singh Chauhan

“…Cover crops differed in their ability to suppress the growth and seed production of E. colona. …”
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Improving early detection of Alzheimer’s disease through MRI slice selection and deep learning techniques by Begüm Şener, Koray Açıcı, Emre Sümer

“…In the results obtained, while an accuracy of 99.45% was achieved with EfficientNetB2 + FPN in AD vs. LMCI classification from the slices selected with SSIM, an accuracy of 99.19% was achieved in AD vs. …”
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A hybrid local-global neural network for visual classification using raw EEG signals by Shuning Xue, Bu Jin, Jie Jiang, Longteng Guo, Jing Liu

“…Additionally, a feature fusion module is proposed to extract efficient features in high sampling rate settings. …”
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SATELLITE IMAGE ENHANCEMENT USING DEEP LEARNING AND GIS INTEGRATION: A COMPREHENSIVE REVIEW by Dalia A. Hussein, Mohamed A. Yousef, Hassan A. Abdel-Hak, Yasser G. Mostafa

“…To address this, satellite images require enhancement, and DL has emerged as a powerful tool due to its ability to model complex relationships and accurately recover super-resolution images. …”
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Selection of chilli-pepper seedling's growth promoting rhizobacteria from an Amazonian savanna by Carlos Enrique CANCHE-IUIT, Sandra Catia Pereira UCHÔA, Kedma da Silva MATOS, Daniel Augusto SCHURT, Gilvan Ferreira da SILVA, Miguel MAFFEI, Deyse Cristina Oliveira da SILVA, Eduardo Medeiros SEVERO, Sonicley da Silva MAIA, Eduardo Alex Carvalho RIBEIRO

“…The use of plant growth-promoting rhizobacteria (PGPR) in the production of high-quality vegetable seedlings can contribute to a more efficient agriculture, less dependent on crop protection products and mineral fertilizers. …”
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Application of the Zimm-Bragg Model to the Removal of Azo Dyes with Pectin by Juan Antonio Lozano-Álvarez, Juan Jáuregui-Rincón, Iliana E. Medina-Ramírez, Rogelio Salinas-Gutiérrez, Jorge Martín Alférez Chávez, Guadalupe Javier Araiza-Arvilla

“…In this work, the ability of pectin (Pec) to remove direct red 80 (DR80), Congo red (CR), methyl orange (MO), and methyl red (MR) was studied. …”
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A Two-echelon Model of Location-routing Problem for Optimizing Relief Operations in Natural Disasters by Hossein Jamali, Mehdi Kabiri Naeini, Zeynab Elahi

“…One of the most significant limitations in this context is the effective coverage of relief bases and the ability to provide timely aid to the affected area. …”
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Consensus-Based Intelligent Distributed Secondary Control for Multiagent Islanded Microgrid by Ali M. Jasim, Basil H. Jasim, Flah Aymen, Hossam Kotb, Ahmed Althobaiti

“…This combination uses the simplicity of the PI controller mathematical formula and ANN’s ability to deal with parameter variations and nonlinearity. …”
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A Prognostic Index for Deceased Donor Kidneys and Criteria for Identifying Suitable Candidates for Kidney Transplantation from Expanded Criteria Donors with Prolonged Waiting Times by Tai Yeon Koo, Joongyub Lee, Omi Na, Yonggu Lee, Jong Cheol Jeong, Jaeseok Yang

“…Conclusion: The K-KDPI and criteria for identifying suitable ECD recipients are expected to improve the quality assessment and efficient utilization of ECD kidneys in Korea with long waiting times.…”
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Design of innovation policy in the context of climate change: Moroccan innovation policy by Imane El Bakali, Rachid Harbouz

“…Hence, we can identify the new lines to follow by politicians to design efficient innovation policies to face major societal challenges. …”
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Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography. by Mahesh B Nagarajan, Paola Coan, Markus B Huber, Paul C Diemoz, Axel Wismüller

“…However, the large size of feature sets extracted in such studies motivates an investigation into algorithmic feature reduction for computing efficient feature representations without compromising their discriminatory power. …”
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A feature-level ensemble machine learning approach for attack detection in IoT networks by Firoz Khan, B. S. Sunil Kumar, Sangeeta Sangani

“…Abstract The rapid adoption of Internet-of-Things (IoT) technologies in smart cities has enabled efficient data exchange among interconnected devices, enhancing automation and real-time decision-making. …”
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Connotation and practice of the integration of academic field based on Bourdieu’s theory——taking the cultivation of cyberspace security talents as an example by Qian ZHOU, Haiping HUANG, Le WANG, Yanchun ZHANG, Fu XIAO

“…The deployment of network security has become a crucial strategy for the development of modern nations, with skilled professionals serving as the core driving force behind cybersecurity efforts.Cultivating cybersecurity talents and fostering team building are essential for China's talent reserves and strategic capital accumulation.With economic globalization, 0-day vulnerabilities have constantly emerged in information systems, attack chains have become increasingly complex, threat targets were difficult to detect, and hidden viruses varied over time.Talents trained by traditional universities for network security were unable to adapt to innovative production and practical activities in the new fields, as it was confined to their training structure system.In order to break through the shackles of the internal administrative structure and traditional curriculum system of universities, and ease the contradiction between the uncertainty of cyberspace security situation and the standardization of talent cultivation, the talent cultivation models based on Bourdieu's theory were studied, the fusion meaning of cultural capital in the academic field was analyzed and three practical standards were put forward in terms of teaching content, cultivation model and teaching opportunity of cyberspace security talents in combination with the actual cases of the “Fang class”.In terms of education content, standards and open knowledge systems were established to meet the differentiated needs of students.The mentorship approach was employed to construct habitus, fostering students’ ability to adapt flexibly to problems by adopting different cognitive thinking modes.Favorable teaching opportunities were utilized by tutors in various roles to promote efficient integration of individuals and fields, helping students establish a valuable and stable mindset.By leveraging Bourdieu's theory to explore the integration path of academic fields, it has leveraged the advantages of independently cultivating high-quality talents, vigorously promoting technological innovation and the healthy ecological development of the industry.…”
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A novel ensemble ARIMA‐LSTM approach for evaluating COVID‐19 cases and future outbreak preparedness by Somit Jain, Shobhit Agrawal, Eshaan Mohapatra, Kathiravan Srinivasan

“…These findings have the potential to significantly improve preparedness and response efforts by public health authorities, allowing for more efficient resource allocation and targeted interventions.…”
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Penalty Strategies in Semiparametric Regression Models by Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz

“…This study includes a comprehensive evaluation of six penalty estimation strategies for partially linear models (PLRMs), focusing on their performance in the presence of multicollinearity and their ability to handle both parametric and nonparametric components. …”
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Research on CTSA-DeepLabV3+ Urban Green Space Classification Model Based on GF-2 Images by Ruotong Li, Jian Zhao, Yanguo Fan

“…The model exhibits higher accuracy and provides efficient references for the intelligent interpretation of urban green space with high-resolution remote sensing images.…”
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Obesity impairs resistance to Leishmania major infection in C57BL/6 mice. by Vinicius Dantas Martins, Franciele Carolina Silva, Felipe Caixeta, Matheus Batista Carneiro, Graziele Ribeiro Goes, Lícia Torres, Sara Cândida Barbosa, Leonardo Vaz, Nivea Carolina Paiva, Cláudia Martins Carneiro, Leda Quercia Vieira, Ana Maria Caetano Faria, Tatiani Uceli Maioli

“…Peritoneal macrophages from obese mice were less efficient to kill L. major when infected in vitro than macrophages from control mice. …”
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