Intelligence algorithm for the treatment of gastrointestinal diseases based on immune monitoring and neuroscience: A revolutionary tool for translational medicine by Liangyu Li, Xuewen Qin, Guangwei Wang, Siyi Li, Xudong Li, Lizhong Guo, Javier Santos, Ana María Gonzalez-Castro, Yanyang Tu, Yi Qin

“…A neural network model was created based on these feature data of the blood cell population. Artificial intelligence algorithms can label susceptible populations for digestive tract cancer with an accuracy rate of over 80 %. …”
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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…In addition, the research conducted can be an opening or preliminary research on the design of an early detection system for diabetic foot complications using deep learning artificial intelligence-based thermography in Indonesia. …”
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Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial by Wu Yi Zheng, Artur Shvetcov, Aimy Slade, Zoe Jenkins, Leonard Hoon, Alexis Whitton, Rena Logothetis, Smrithi Ravindra, Stefanus Kurniawan, Sunil Gupta, Kit Huckvale, Eileen Stech, Akash Agarwal, Joost Funke Kupper, Stuart Cameron, Jodie Rosenberg, Nicholas Manoglou, Manisha Senadeera, Svetha Venkatesh, Kon Mouzakis, Rajesh Vasa, Helen Christensen, Jill M Newby

“…Here we present insights from our experience recruiting tertiary education students for a digital mental health artificial intelligence–driven adaptive trial—Vibe Up. …”
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Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data by B. Li, B. Li, B. Li, B. Li, H. Xie, H. Xie, S. Liu, Z. Ye, Z. Hong, Q. Weng, Q. Weng, Q. Weng, Y. Sun, Q. Xu, X. Tong

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Novel transfer learning based bone fracture detection using radiographic images by Aneeza Alam, Ahmad Sami Al-Shamayleh, Nisrean Thalji, Ali Raza, Edgar Anibal Morales Barajas, Ernesto Bautista Thompson, Isabel de la Torre Diez, Imran Ashraf

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TTSNet: Transformer–Temporal Convolutional Network–Self-Attention with Feature Fusion for Prediction of Remaining Useful Life of Aircraft Engines by Zhaofei Li, Shilin Luo, Haiqing Liu, Chaobin Tang, Jianguo Miao

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Targeting ferroptosis in prostate cancer management: molecular mechanisms, multidisciplinary strategies and translational perspectives by Hubo Yang, Xuefeng Zhang, Zongming Jia, He Wang, Jixiang Wu, Xuedong Wei, Yuhua Huang, Wenying Yan, Yuxin Lin

“…The state-of-the-art techniques for ferroptosis-related data integration, knowledge identification, and translational application to PCa theranostics were discussed from a combinative perspective of artificial intelligence-powered modelling and advanced material-oriented therapeutic scheme design. …”
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A Three‐Terminal Memristive Artificial Neuron with Tunable Firing Probability by Mila Lewerenz, Elias Passerini, Luca Weber, Markus Fischer, Nadia Jimenez Olalla, Raphael Gisler, Alexandros Emboras, Mathieu Luisier, Miklos Csontos, Ueli Koch, Juerg Leuthold

“…To date, the latter two key features are critically missing from the toolbox of artificial spiking neural network hardware, hindering the development of scalable and sustainable artificial intelligence (AI) platforms. Here, a compact, gate‐tunable neuron circuit is demonstrated, and its potential as a functional leaky integrate‐and‐fire (LIF) neuron is explored. …”
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Lock-out, lock-in, and networked sovereignty. Resistance and experimentation in Africa’s trajectory towards AI by Iginio Gagliardone

“…But, following Mbembe, it is by reconnecting with the epistemic traditions that characterized pre-colonial Africa (Mbembe, 2020) that it becomes possible to experiment with new forms of resistance and value making that seem more attuned to some of the realities brought by digital technologies, and Artificial Intelligence more specifically. As he explained, “precolonial Africa might not have been a borderless world. …”
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A comparative analysis for crack identification in structural health monitoring: a focus on experimental crack length prediction with YUKI and POD-RBF by Zenzen, Roumaissa, Ayadi, Ayoub, Benaissa, Brahim, Belaidi, Idir, Sukic, Enes, Khatir, Tawfiq

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Generative ecodesign for mechanical products: A design workflow by Amos Wei Lun Lee, Kevin Kai Wern Seah, Bing Feng Ng, Ee Teng Zhang, Wen Feng Lu, Jonathan Sze Choong Low

“…Harnessing advancements in artificial intelligence, generative design holds great potential to support designers in their ecodesign efforts by enabling them to explore design solutions beyond the limits of their imagination and expertise. …”
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Using ChatGPT for medical education: the technical perspective by Kwan Yin Chan, Tsz Hon Yuen, Michael Co

“…The rapid advancement of artificial intelligence, such as the recent introduction of ChatGPT, offers innovative conversational experiences with computer-generated responses. …”
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Logical reasoning for human activity recognition based on multisource data from wearable device by Mahmood Alsaadi, Ismail Keshta, Janjhyam Venkata Naga Ramesh, Divya Nimma, Mohammad Shabaz, Nirupma pathak, Pavitar Parkash Singh, Sherzod Kiyosov, Mukesh Soni

“…In order to realize the natural fusion of signal processing and logical reasoning in behavior recognition research, this work designs a lightweight behavior recognition solution using the pertinent theories of ontology reasoning in classical artificial intelligence. Machine learning technology is also employed for behavior recognition using the same data set. …”
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Challenges and Opportunities in Fog Computing Scheduling: A Literature Review by Wu Chia Chuan, Shams Ul Arfeen Laghari, Selvakumar Manickam, Erum Ashraf, Shankar Karuppayah

“…Nonetheless, both IoT and Artificial Intelligence (AI)-based applications face obstacles concerning the availability of computing resources, security, and constraints on energy consumption. …”
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Enhancing Chronic Disease Prediction in IoMT-Enabled Healthcare 5.0 Using Deep Machine Learning: Alzheimer’s Disease as a Case Study by Rabia Javed, Tahir Abbas, Tariq Shahzad, Khadija Kanwal, Sadaqat Ali Ramay, Muhammad Adnan Khan, Khmaies Ouahada

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Learning transactions representations for information management in banks: Mastering local, global, and external knowledge by Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey Savchenko, Alexey Zaytsev

“…In today’s world, banks use artificial intelligence to optimize diverse business processes, aiming to improve customer experience. …”
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Enterprises as Complex Systems: Navigating Challenges and Embracing Resilience by Dimitry Borissov

“…Technological advancements, including artificial intelligence, the Internet of Things, and big data, add layers of operational complexity, demanding robust data management, cybersecurity measures, and seamless integration with legacy systems. …”
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Epilepsy Prediction and Detection Using Attention-CssCDBN with Dual-Task Learning by Weizheng Qiao, Xiaojun Bi, Lu Han, Yulin Zhang

“…As a pivotal application of artificial intelligence in medical treatment, learning the features of EEGs for epilepsy prediction and detection remains a challenging problem, primarily due to the presence of intra-class and inter-class variations in EEG signals. …”
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Efficient Anomaly Detection Algorithm for Heart Sound Signal by Zhihai Liu, Wen Liu, Zheng Gu, Feng Yang

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PRISM-Med: Parameter-Efficient Robust Interdomain Specialty Model for Medical Language Tasks by Jieui Kang, Hyungon Ryu, Jaehyeong Sim

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