Single cell RNA sequencing improves the next generation of approaches to AML treatment: challenges and perspectives by Zahra Khosroabadi, Samaneh Azaryar, Hassan Dianat-Moghadam, Zohreh Amoozgar, Mohammadreza Sharifi

“…However, scRNA-seq applications face various challenges such as a large amount of data for high-dimensional analysis, technical noise, batch effects, and finding small biological patterns, which could be improved in combination with artificial intelligence models.…”
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Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method by Guofeng Ren, Guicheng Shao, Jianmei Fu

“…In the recent years, along with the development of artificial intelligence (AI) and man-machine interaction technology, speech recognition and production have been asked to adapt to the rapid development of AI and man-machine technology, which need to improve recognition accuracy through adding novel features, fusing the feature, and improving recognition methods. …”
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Towards unbiased skin cancer classification using deep feature fusion by Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, Ye Duan, Monji Kherallah, Faiza Charfi

“…Extensive experiments were conducted using publicly accessible datasets to evaluate SWNet’s effectiveness.This study utilized four datasets-Mnist-HAM10000, ISIC2019, ISIC2020, and Melanoma Skin Cancer-comprising skin cancer images categorized into benign and malignant classes. Explainable Artificial Intelligence (XAI) techniques, specifically Grad-CAM, were employed to enhance the interpretability of the model’s decisions. …”
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Research on Safe Driving Evaluation Method Based on Machine Vision and Long Short-Term Memory Network by Dongmei Shi, Hongyu Tang

“…Aiming at the problem of driving safety, the application of artificial intelligence technology in safe driving behavior recognition can effectively reduce the accident rate and economic losses. …”
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Applied Linguistics. Reflections on an evolving discipline with a focus on publications in the journal TEANGA, The Journal of the Irish Association for Applied Linguistics, from 20... by Jennifer Bruen

“…Limited evidence was found of some of the more niche and emerging areas in the broader field of applied linguistics such as social justice, raciolinguistics, artificial intelligence, ethics in linguistics research and multilingual sustainability. …”
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Therapeutic Effect of Intense Pulsed Light (IPL) Combined with Meibomian Gland Expression (MGX) on Meibomian Gland Dysfunction (MGD) by Shanshan Wei, Xiaotong Ren, Yuexin Wang, Yilin Chou, Xuemin Li

“…Additionally, an artificial intelligence automated software program was applied in our study for corneal nerve analysis. …”
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Securing Urban Landscape: Cybersecurity Mechanisms for Resilient Smart Cities by Qiang Lyu, Sujuan Liu, Zhouyuan Shang

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Resource-based view theory and its applications in supply chain management: A systematic literature review by Robert Agwot Komakech, Thomas Ogoro Ombati, Reuben Wambua Kikwatha, Michael Githii Wainaina

“…The findings revealed that emerging trends like integrating advanced technologies like Blockchain, Artificial Intelligence and the Internet of Things are identified as strategic resources that redefine competitive landscapes by enhancing transparency, responsiveness and responsiveness within supply chains. …”
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Level-Up Learning with CIGLE Framework: Enhancing Learning Through Interactive, Game-Based Collaboration for Effective Problem Solving by Ismat Zahra, Mai Neo, Soon Hin Hew

“…The shift to technology-oriented learning environments including Digital games, Artificial Intelligence (AI), Augmented Reality (AR)/Virtual Reality (VR) tools necessitated innovative solutions to maintain and enhance educational quality. …”
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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

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Tailored Channel Pruning: Achieve Targeted Model Complexity Through Adaptive Sparsity Regularization by Suwoong Lee, Yunho Jeon, Seungjae Lee, Junmo Kim

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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“…Ethical and legal considerations are also critical as the deployment of artificial intelligence in healthcare necessitates careful consideration of patient consent and data security. …”
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Non-Volatile Reconfigurable Optical Digital Diffractive Neural Network Based on Phase Change Material by Qiaomu Hu, Jingyu Zhao, Chu Wu, Rui Zeng, Xiaobing Zhou, Shuang Zheng, Minming Zhang

“…Thanks to its reconfigurability and low energy supply, the digital optical diffractive neural network holds great potential to facilitate a programmable and low-power-consumption photonic processor for optical-artificial-intelligence.…”
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Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model by Santosh Kumar Henge, Nikhil Reddy Viraati, Musaed Alhussein, Ajay Shriram Kushwaha, Khursheed Aurangzeb, Ravleen Singh

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The Effect of Hypertension Duration and the Age of Onset on CV Risk Factors Expression in Perimenopausal Women by Ljiljana Trtica Majnarić, Ivo Martinović, Šefket Šabanović, Stjepan Rudan, František Babič, Thomas Wittlinger

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Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching by Lukas Bischof, Stefan Teodoropol, Rudolf M. Füchslin, Kurt Stockinger

“…Hence, entity matching, i.e. the process of linking data about a given entity gathered from multiple data sets, is a major problem in artificial intelligence with applications in science and industry. …”
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Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia by Nahla F. Omran, Sara F. Abd-el Ghany, Hager Saleh, Abdelmgeid A. Ali, Abdu Gumaei, Mabrook Al-Rakhami

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Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

“…Model‐Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug–target interactions from big data, enabling more accurate predictions and novel hypothesis generation. …”
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Development of Environmental Action Plans for Adaptation to Climate Change: A Perspective of Air Quality Management by Han-Shi Chen, Kei-Iong Tam, Yu-Lin Zhao, Lan Yuan, Weiyi Wang, Merrisa Lin, Pen-Chi Chiang

“…In this study, a Climate Change Adaptation Plan concerning Air (CCAP-Air) is proposed based on the summary of policies and strategies in developed countries (United States, United Kingdom, Germany, Japan, and Australia), where five main strategies were suggested, including integrating the impacts of climate change on air quality into legislation, developing models to simulate the impacts of climate change on air quality, incorporating nature-based solutions into air quality management, considering AIoT (Artificial Intelligence Internet of Things) into climate change monitoring and governance, and establishing green finance system for tackling climate change. …”
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HGeoKG: A Hierarchical Geographic Knowledge Graph for Geographic Knowledge Reasoning by Tailong Li, Renyao Chen, Yilin Duan, Hong Yao, Shengwen Li, Xinchuan Li

“…HGeoKG serves as both a reference for GeoKG construction and a benchmark for geographic knowledge reasoning, driving the development of geographical artificial intelligence (GeoAI).…”
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