AutoML: A systematic review on automated machine learning with neural architecture search by Imrus Salehin, Md. Shamiul Islam, Pritom Saha, S.M. Noman, Azra Tuni, Md. Mehedi Hasan, Md. Abu Baten

“…AutoML emerged to increase productivity and efficiency by automating as much as possible the inefficient work that occurs while repeating this process whenever machine learning is applied. …”
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Exploration of machine learning approaches for automated crop disease detection by Annu Singla, Ashima Nehra, Kamaldeep Joshi, Ajit Kumar, Narendra Tuteja, Rajeev K. Varshney, Sarvajeet Singh Gill, Ritu Gill

“…The review discusses the proposed models, techniques, accuracy, feature selection, extraction methods, the types of datasets used to perform experiments, and the sources of the datasets. …”
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A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images by Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, Byoungchol Chang

“…The proposed framework offers improved accuracy, precision, and computational efficiency compared to state-of-the-art models. The proposed framework addresses key challenges in GI disease diagnosis, demonstrating its potential for accurate and efficient clinical applications. …”
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Evaluation of the Surface Finish on 304 Stainless Steel as a Way to Mitigate Calcium Carbonate Scaling by Antônio Carlos Barbosa Zancanella, Luila Abib Saidler, Renato do Nascimento Siqueira, Helga Elisabeth Pinheiro Schluter, Bruno Venturini Loureiro

“…These findings are crucial for optimizing material selection and surface treatments in deep-water oil exploration, enhancing operational efficiency and reducing costs.…”
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Identification of potential inhibitors of Ubiquitin carboxyl-terminal hydrolase 21 from repurposed drugs: Implications in anticancer therapeutics by Anas Shamsi, Nojood Altwaijry, Moyad Shahwan, Akram Ashames, Dharmendra Kumar Yadav, Mohammad Furkan, Rizwan Hasan Khan

“…At the beginning of the selection process, the library was filtered by the binding efficiency to USP21, which identified a few drug molecules with appreciable binding affinity towards the USP21 binding pocket. …”
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Data and Knowledge Dual-Driven Creep Life Prediction for Austenitic Heat-Resistance Steel by Xiaochang Xie, Mutong Liu, Ping Yang, Zenan Yang, Chengbo Pan, Chenchong Wang, Xiaolu Wei

“…The accuracy, universality, and development efficiency of the model are better than the traditional material development strategy. …”
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Managing technical risks caused by indirect interactions: insights from tracking the use of risk assessment tools by Iñigo Alonso Fernández, Massimo Panarotto, Ola Isaksson

“…These findings support the use of structured supports to enhance both the efficiency of early-stage risk evaluation and the efficacy of risk treatment.…”
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Industry 6.0: methodology, tools, practice by Babkin Aleksandr, Liberman Irina, Klachek Pavel, Shkarupeta Elena

“…To prove the effectiveness of the polysystem protein GН1G, a model of economic coevolution of the Starbase metaecosystem was created, which showed high efficiency and significant scientific and technological potential of the presented tools. …”
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Spatial distribution and source apportionment of nitrogen in typical plain river networks and bacterial community response by Aiju You, Aiju You, Qiaoxi Zheng, Pengcheng Yao, Pengcheng Yao

“…This bacterial activity enhanced nitrogen cycle efficiency, ultimately reducing nitrogen concentrations. …”
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A novel mRNA-based multi-epitope vaccine for rabies virus computationally designed via reverse vaccinology and immunoinformatics by Wafa Tombari, Oussema Khamessi, Houcemeddine Othman, Ouafa Kallala, Rihab Mahjoub, Kais Ghedira, Abdelhalim Trabelsi

“…The cytotoxic T lymphocytes (CTLs), helper T lymphocytes (HTLs), and linear B-cell epitopes (LBLs) were mapped and prioritized from four top-ranking vaccine targets (nucleoprotein, phosphoprotein, matrix, and glycoprotein) that were highly antigenic, nonallergenic, nontoxic, and nonhuman homologs. The selected epitopes exhibited strong binding affinity to high-frequency HLA alleles, as evidenced by highly negative ΔG values and low dissociation constants, predicting efficient T-cell recognition and broad population coverage (96.01% globally). …”
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In Silico Design of Dual Estrogen Receptor and Hsp90 Inhibitors for ER-Positive Breast Cancer Through a Mixed Ligand/Structure-Based Approach by Gabriele La Monica, Federica Alamia, Alessia Bono, Francesco Mingoia, Annamaria Martorana, Antonino Lauria

“…Traditional endocrine therapies, including aromatase inhibitors, selective estrogen receptor degraders/antagonists (SERDs), and selective estrogen receptor modulators (SERMs), have improved outcomes for metastatic ER+ breast cancer. …”
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Fluorescent EGTA-derived carbon dots for turn on–off–on detection of Fe3+ and ascorbic acid via hydrothermal synthesis and cellular imaging by Kanwal Iqbal, Anam Iqbal, Wenwu Qin, Muhammad Imran, Zeeshan Ajmal, Imran Khan, Guolong Xing

“…This approach demonstrates excellent selectivity for AA over dopamine and other amino acids, providing a reliable method for distinguishing AA in complex biological matrices. …”
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The Impact of Natural Resources on the Development of Countries by Mohammad Javad Barbari, Abdolhosain Kalantari, Hosain Raghfar, Gholamreza Ghafari

“…In the present study, qualitative comparative analysis method has been used as a means of quantitative and qualitative research and a powerful tool to analyze the causal complexities. Therefore, four phases of data fuzzy, formation of values table, a method to analyze the variables using complex causality and validation of the results of the research were considered. …”
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Binary solvent extraction of intracellular lipids from Rhodotorula toruloides for cell recycling by Jingyi Song, Rasool Kamal, Yadong Chu, Shiyu Liang, Zongbao K. Zhao, Qitian Huang

“…The process involves the separation of lipids from microbial cells. Given the complexity of microbial cell walls and the demand for efficient and environmentally friendly extraction methods, further research is still needed in this area. …”
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Advances in Surface-Enhanced Raman Spectroscopy for Therapeutic Drug Monitoring by Huasheng Lai, Xinlan Wang, Menghan Qi, Hao Huang, Bingqiong Yu

“…This review examines the latest advancements in SERS substrates and their applications in TDM, highlighting the innovations in substrate design that enhance detection sensitivity and selectivity. We discuss the challenges faced by SERS for TDM, such as substrate signal reproducibility and matrix interference from complex biological samples, and explore solutions like digital colloid-enhanced Raman spectroscopy, enrichment detection strategies, microfluidic SERS, tandem instrument technologies, and machine learning-enabled SERS. …”
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Machine-Learning Methods Estimating Flights’ Hidden Parameters for the Prediction of KPIs by George Vouros, Ioannis Ioannidis, Georgios Santipantakis, Theodore Tranos, Konstantinos Blekas, Marc Melgosa, Xavier Prats

“…Complex microscopic simulation models of strategic Air Traffic Management (ATM) performance assessment and decision-making are hindered by several factors. …”
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An Evaluation of the Sensitivity of a Source Term Estimation Methodology of Sensor Configuration in an Urban-like Environment by Panagiotis Gkirmpas, Fotios Barmpas, George Tsegas, George Efthimiou, Paul Tremper, Till Riedel, Christos Vlachokostas, Nicolas Moussiopoulos

“…Identifying unknown sources of air pollutants is vital for protecting public health, especially in cases involving the emission of toxic substances. The efficiency of this process depends highly on the accuracy of Source Term Estimation (STE) methods and the availability of robust measurements. …”
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Progress in phase field research of dead lithium in lithium batteries by Jing LIU, Huiyi CHEN, Huiyu LIU, Shu LI

“…These problems considerably reduce the Coulomb efficiency and service life of lithium metal batteries and constitute a substantial obstacle to the development and wide application of lithium metal batteries. …”
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Optimization and validation of bifenazate and bifenazate-diazene quantification in agricultural products using a reduction method by Deuk-Yeong Lee, Hee-Jin Jeong, Jong-Wook Song, Ji-Young An, Jong-Su Seo, Jong-Hwan Kim

“…This study aimed to develop a reliable method for quantifying bifenazate in agricultural products by optimizing the reduction conditions for bifenazate-diazene and evaluating the purification efficiency of different sorbents. Ascorbic acid was employed as a reductant, and four sorbents (PSA, PSA + C18, PSA + C18 + GCB, and Z-Sep +) were tested for matrix effects and recovery in pepper, mandarin, and brown rice. …”
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YOLOv8-TEA: Recognition Method of Tender Shoots of Tea Based on Instance Segmentation Algorithm by Wenbo Wang, Yidan Xi, Jinan Gu, Qiuyue Yang, Zhiyao Pan, Xinzhou Zhang, Gongyue Xu, Man Zhou

“…However, due to the diverse growth postures of tender shoots and complex growth environments in tea plants, traditional tea picking machines are unable to precisely select the tender shoots, and the picking of high-end and premium tea still relies on manual labor, resulting in low efficiency and high costs. …”
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