Deep vision-based real-time hand gesture recognition: a review by Cui Cui, Mohd Shahrizal Sunar, Goh Eg Su

“…The choice of evaluation metrics and dataset is critical since different tasks require different evaluation parameters, and the model learns more patterns and features from diverse data. Therefore, the evaluation metrics are categorized into accuracy and efficiency. …”
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Prediction acrylamide contents in fried dough twist based on the application of artificial neural network by Xinyu Wu, Haiyang Yan, Yue Cao, Yuan Yuan

“…Acrylamide forms through the reaction between reducing sugars and asparagine in the thermal processing of food. Detection measures like LC-MS, HPLC are time-consuming and costly, which inspired us to use back propagation-artificial neural networks (BP-ANN) based on a genetic algorithm to establish an acrylamide prediction model in fried dough twist. …”
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Predicting adverse drug reactions in oncology: A critical review of machine learning approaches and future directions by Abid Yahya, Phatsimo Lobelo, Afiya Eram, Sana Althaf Hussain, Irfan Anjum Badruddin, Lory Liza D. Bulay-og, Dionel O. Albina

“…We go over a variety of methods for utilizing both structured and unstructured clinical data, such as supervised, unsupervised, and deep learning models in addition to natural language processing (NLP) strategies. …”
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Integration of Hyperspectral Imaging and Deep Learning for Discrimination of Fumigated Lilies and Prediction of Quality Indicator Contents by Pengfei Zhang, Youyou Wang, Binbin Yan, Xiufu Wang, Zihua Zhang, Sheng Wang, Jian Yang

“…However, storage conditions and sulfur fumigation during processing can degrade key nutrients like polysaccharides, phenols, and sulfur dioxide. …”
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Clinical application of clinical decision support systems in the management of patients with atrial fibrillation by A. V. Ponomarenko, A. D. Gavrilko, A. A. Gartung, M. S. Poliakova, A. A. Oganesyan, K. S. Benimetskaya, D. V. Losik, S. V. Shalaev

“…Additional software capable of processing large amounts of data in a short period can assist doctors. …”
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Inhibition of the SR protein-phosphorylating CLK kinases of Plasmodium falciparum impairs blood stage replication and malaria transmission. by Selina Kern, Shruti Agarwal, Kilian Huber, André P Gehring, Benjamin Strödke, Christine C Wirth, Thomas Brügl, Liliane Onambele Abodo, Thomas Dandekar, Christian Doerig, Rainer Fischer, Andrew B Tobin, Mahmood M Alam, Franz Bracher, Gabriele Pradel

“…Cyclin-dependent kinase-like kinases (CLKs) are dual specificity protein kinases that phosphorylate Serine/Arginine-rich (SR) proteins involved in pre-mRNA processing. …”
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Deep Learning-Based Short Text Summarization: An Integrated BERT and Transformer Encoder–Decoder Approach by Fahd A. Ghanem, M. C. Padma, Hudhaifa M. Abdulwahab, Ramez Alkhatib

“…In today’s digital landscape, where an immense volume of textual data is produced every day, the need for concise and coherent summaries is more crucial than ever. …”
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CARBON FOOTPRINT ESTIMATION IN EGYPTIAN AQUACULTURE FARMS by Tarek FOUDA, Abd-Elrahman ELRAYES, Abd-Elhameed ELHANAFY

“…Feed manufacture, which was primarily tied to the production and processing of raw materials, was the largest source of GHG emissions for all three processes. …”
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Levenberg–Marquardt neural networks (LMNNs) for free convective Casson fluid flow in partially heated square cavity with rectangular heat source by Khalil Ur Rehman, Wasfi Shatanawi, Yian Yian Lok

“…The study of Casson fluid in cavities is relevant in different fields like biomedical simulations, chemical processing, lubrication, reactor design, and microfluidic devices, to mention just a few. …”
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Exploring Scientific Outputs about Globalization: A Conceptual Framework Study by Saleh Rahimi, Faramarz Soheili

“…Materials & MethodsThis study utilized bibliometric analysis to examine scholarly literature. Data were processed using VOSviewer, UCINet, and BibExcel software. …”
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Hardware realization of neuromorphic computing with a 4–port photonic reservoir for modulation format identification by Enes Şeker, Rijil Thomas, Guillermo von Hünefeld, Stephan Suckow, Mahdi Kaveh, Gregor Ronniger, Pooyan Safari, Isaac Sackey, David Stahl, Colja Schubert, Johannes Karl Fischer, Ronald Freund, Max C Lemme

“…Reservoir computing encompasses recurrent neural networks for sequential data processing and matches the performance of other recurrent networks with less training and lower costs. …”
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Towards Secure IoT Authentication System Based on Fog Computing and Blockchain Technologies to Resist 51% and Hijacking Cyber-Attacks by Muwafaq Jawad, Ali A. Yassin, Hamid Ali Abed Al-asadi, Zaid Ameen Abduljabbar, Vincent Omollo Nyangares, Zaid Alaa Hussien, Husam A. Neamah

“…The Internet of Health Things (IoHT) is a network of healthcare devices, software, and systems that enable remote monitoring and healthcare services by gathering real-time health data through sensors. Despite its significant benefits for modern smart healthcare, IoHT faces growing security challenges due to the limited processing power, storage capacity, and self-defense capabilities of its devices. …”
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Advancing drug-drug interactions research: integrating AI-powered prediction, vulnerable populations, and regulatory insights by Wenzhun Huang, Wenzhun Huang, Xiao Wang, Xiao Wang, Yunhao Chen, Yunhao Chen, Changqing Yu, Shanwen Zhang, Shanwen Zhang

“…Innovative techniques like graph neural networks (GNNs), natural language processing, and knowledge graph modeling are being increasingly utilized in clinical decision support systems (CDSS) to improve the detection, interpretation, and prevention of DDIs across various patient demographics. …”
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Enhancing water saturation predictions from conventional well logs in a carbonate gas reservoir with a hybrid CNN-LSTM model by Ali Gohari Nezhad, Mohammad Emami Niri

“…The methodology includes data pre-processing to de-noise and transform data into a proper format, feature engineering followed by feature selection based on domain knowledge, models’ training, testing, and optimizing. …”
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Attention-driven hybrid deep learning and SVM model for early Alzheimer’s diagnosis using neuroimaging fusion by Arjun Kidavunil Paduvilan, Godlin Atlas Lawrence Livingston, Sampath Kumar Kuppuchamy, Rajesh Kumar Dhanaraj, Muthuvel Subramanian, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…This is attained by precisely classifying the disease from neuroimaging data. The approach integrates advanced data pre-processing, dynamic feature optimization, and attention-driven learning mechanisms to enhance interpretability and robustness. …”
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Satellite Imagery for Comprehensive Urban Morphology and Surface Roughness Analysis: Leveraging GIS Tools and Google Earth Engine for Sustainable Urban Planning by Aikaterini Stamou, Eleni Karachaliou, Ioannis Tavantzis, Aikaterini Bakousi, Anna Dosiou, Zoi-Eirini Tsifodimou, Efstratios Stylianidis

“…High-resolution remotely sensed data, which are characterised by their advanced spectral and spatial capabilities, provide unprecedented opportunities to monitor and analyse the dynamic structures of urban environments. …”
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Association of Microbiome in Oral Cancer Patients and Healthy Individuals: A Metagenomic Study by Harshitkumar J. Savalia, Nimisha Patel, Krishna Mohan Singh, Manan Patel, Shomesh Chandra, Purva Gohil, Apurvasinh Puvar, Chaitanya G. Joshi, Rushika Patel

“…The study involved collecting 40 swabs from oral cancer patients, post-therapeutic patients, and healthy individuals, amplifying DNA samples, processing raw data using Perl scripts and Prinseq Lite, performing metagenomic analysis using QIIME 2-2022.2, and taxonomic classification using Greengenes2. …”
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Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm by Yuanyuan Chen, Nan Sun, Yuanbang Li, Rong Peng, Abbas Habibi

“…Text classification is a key task in natural language processing that entails sorting textual information into specified categories. …”
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Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops by Tariq Ali, Saif Ur Rehman, Shamshair Ali, Khalid Mahmood, Silvia Aparicio Obregon, Rubén Calderón Iglesias, Tahir Khurshaid, Imran Ashraf

“…These insights were then applied to deep learning and machine learning techniques after careful data processing. The rigorous metric evaluations and ablation analysis that typified the study’s approach highlighted the algorithms’ effectiveness and dependability in recognizing and classifying stress events. …”
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Enhanced quantitation of pathological α-synuclein in patient biospecimens by RT-QuIC seed amplification assays. by Ankit Srivastava, Qinlu Wang, Christina D Orrù, Manel Fernandez, Yaroslau Compta, Bernardino Ghetti, Gianluigi Zanusso, Wen-Quan Zou, Byron Caughey, Catherine A A Beauchemin

“…We used end-point dilution (ED) RT-QuIC assays to determine αSynD seed concentrations in patient biospecimens and tested the influence of various assay variables such as serial dilution factor, replicate number and data processing methods. The use of 2-fold versus 10-fold dilution factors and 12 versus 4 replicate reactions per dilution reduced ED-RT-QuIC assay error by as much as 70%. …”
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