An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification by Aijaz Ahmad Reshi, Furqan Rustam, Arif Mehmood, Abdulaziz Alhossan, Ziyad Alrabiah, Ajaz Ahmad, Hessa Alsuwailem, Gyu Sang Choi

“…Artificial intelligence (AI) techniques in general and convolutional neural networks (CNNs) in particular have attained successful results in medical image analysis and classification. …”
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A Novel Change Detection Method Based on Visual Language From High-Resolution Remote Sensing Images by Junlong Qiu, Wei Liu, Hui Zhang, Erzhu Li, Lianpeng Zhang, Xing Li

“…Recently, the release of “all-in-one” foundation models has sparked rapid developments in artificial intelligence. However, due to the fact that these models are typically trained on natural images, their potential in remote sensing remains largely untapped. …”
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Detecting anomalies in smart wearables for hypertension: a deep learning mechanism by C. Kishor Kumar Reddy, Vijaya Sindhoori Kaza, R. Madana Mohana, Mohammed Alhameed, Fathe Jeribi, Shadab Alam, Mohammed Shuaib

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Alteration of Mastication Force via Intraoral Closed-Loop Electrical Stimulation by Junxiang Zheng, Bing Jiang, Saurabh Biswas, Su Young Lee, Erin Ealba Bumann, Teresa E. Lever, Jeonghee Kim, Hangue Park

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An Artificial Neural Network Developed in MATLAB-Simulink for Reconstruction a Distorted Secondary Current Waveform. Part 1 by Yu. V. Rumiantsev, F. A. Romaniuk

“…Аrtificial neural networks are one of the fastest growing areas in artificial intelligence technology. Recently, there has been an increased interest in the use of аrtificial neural networks in the electric power engineering, including relay protection. …”
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Decoding the brain-machine interaction for upper limb assistive technologies: advances and challenges by Sutirtha Ghosh, Rohit Kumar Yadav, Sunaina Soni, Shivangi Giri, Shivangi Giri, Suriya Prakash Muthukrishnan, Lalan Kumar, Lalan Kumar, Shubhendu Bhasin, Sitikantha Roy

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Strategies for Healthcare Disaster Management in the Context of Technology Innovation: the Case of Bulgaria by R. Vazov, R. Kanazireva, T.V. Grynko, O.P. Krupskyi

“…The purpose of the study is to assess the impact of modern technological innovations on the effectiveness of disaster management in health care in Bulgaria with a focus on Health Information Systems (HIS), Telemedicine, Telehealth, e-Health, Electronic Health Records, Artificial Intelligence (AI), Public Communication Platforms, and Data Security and Privacy. …”
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Sustainable Environmental Monitoring: Multistage Fusion Algorithm for Remotely Sensed Underwater Super-Resolution Image Enhancement and Classification by Wad Ghaban, Jawad Ahmad, Ali Akbar Siddique, Mohammad S. Alshehri, Anila Saghir, Faisal Saeed, Baraq Ghaleb, Mujeeb Ur Rehman

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ClassWise-SAM-Adapter: Parameter-Efficient Fine-Tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation by Xinyang Pu, Hecheng Jia, Linghao Zheng, Feng Wang, Feng Xu

“…In the realm of artificial intelligence, the emergence of foundation models, backed by high computing capabilities and extensive data, has been revolutionary. …”
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The evolving roles of geophysics in environmental assessment, monitoring, and management of landfill leachate contaminant plumes: An overview by Joseph Omeiza Alao

“…Future research should focus on developing advanced data interpretation techniques, integrating geophysical data with other environmental monitoring data, and exploring the use of artificial intelligence for automated analysis and prediction of LLP behaviour, which ultimately aiding the environmental decision-makers in addressing ecological challenges and designing/managing landfill sites.…”
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Mechanistic PKPD modeling to describe cytokine release associated with CD3 T-cell engager therapies by Apolline Lefèvre, Apolline Lefèvre, Zinnia P. Parra-Guillen, Zinnia P. Parra-Guillen, Iñaki F. Trocóniz, Iñaki F. Trocóniz, Iñaki F. Trocóniz, Christophe Boetsch, Nicolas Frances

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Understanding the impacts of drought on peanuts (Arachis hypogaea L.): exploring physio-genetic mechanisms to develop drought-resilient peanut cultivars by Sameer Pokhrel, Prasanna Kharel, Swikriti Pandey, Stephanie Botton, Gema Takbir Nugraha, Corley Holbrook, Peggy Ozias-Akins

“…The advent of precise genetic studies, artificial intelligence, high-throughput phenotyping, bioinformatics, and data science have significantly improved drought studies in peanuts. …”
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Heterogeneous graph convolutional neural network for protein-ligand scoring by Kevin Crampon, Alexis Giorkallos, Xavier Vigouroux, Stephanie Baud, Luiz Angelo Steffenel

“…It has achieved good performances by outperforming classical methods and being among the best artificial intelligence (AI) methods. Conclusions: Thus, HGScore brings a new way to represent protein-ligand interactions. …”
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Forecasting US data center CO2 emissions using AI models: emissions reduction strategies and policy recommendations by Rohan Jha, Rishabh Jha, Mazhar Islam

“…Data centers are poised for unprecedented growth due to a revolution in Artificial Intelligence (AI), rise in cryptocurrency mining, and increasing cloud demand for data storage. …”
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Big data acquisition for underground infrastructure condition assessment by Chao Wang, Zhipeng Xiao, Yixian Wang, Fei Wang, Zili Li

“…To enable more efficient, accurate, and reliable assessment, it is recommended to (1) integrate data analytics like artificial intelligence to automate the analysis and interpretation of collected data, (2) to develop robust big data management platforms capable of handling large volumes of data storage, processing and analysis, (3) to couple different data acquisition technologies to leverage the strengths of each technique, and (4) to continuously improve data acquisition methods to ensure efficient and reliable data acquisition.…”
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Image Recognition as a “Dialogic AI Partner” Within Biodiversity Citizen Science—an empirical investigation by Nirwan Sharma, Laura Colucci-Gray, Poppy Lakeman-Fraser, Annie Robinson, Julie Newman, René Van der Wal, Stefan Rueger, Advaith Siddharthan

“…We investigate the potential of a new citizen science paradigm that facilitates collaborative learning between humans and artificial intelligence (AI). Recognising the potential of AI to support and empower rather than replace human participation, we explore the integration of image recognition as a ‘dialogic AI partner’ in citizen science (CS) projects, interacting with participants in real time. …”
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Validity and reliability International Classification of Diseases-10 codes for all forms of injury: A systematic review. by Sarah Paleczny, Nosakhare Osagie, Jai Sethi, Michael Cusimano

“…Future work, potentially utilizing artificial intelligence, may improve the validity and reliability of ICD codes used to document injuries.…”
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A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography by Sule Erdem, Suheda Erdem, Muammer Turkoglu, Abdulkadir Sengur, Nebras M. Sobahi

“…Ultrasonography is the preferred method for imaging the soft tissues of the head and neck but is highly operator-dependent. Artificial intelligence, particularly deep learning-based segmentation models, has the potential to improve the accuracy and precision of ultrasound images. …”
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Modulation of iron metabolism by new chemicals interacting with the iron regulatory system by Yoshiaki Tsuji, Jun Ninomiya-Tsuji, Maurice Y.F. Shen, Benjamin R. DiFrancesco

“…To guide the development of new chemical probes to modulate the IRP-IRE regulatory system, we used an artificial intelligence (AI)-based ligand design and screened a chemical library composed of cysteine-reactive warheads. …”
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Effects of Covid-19 Pandemic on School Dropout in Selected Primry Schools in Nyarusiza Sub-County Kisoro District. by Sibo, Dusabe Chris Jackson

“…Innovative approaches could be used such as applications of artificial intelligence in high-risk/high-traffic sites to enhance COVID-19 detection efficiency while protecting medical staff and the general public from cross-infections The government should establish a physical and automated platform for coordination and resource mobilization for support to the poor pupils and the most vulnerable groups affected by COVID-19-related lockdown.…”
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