Digital Twin-Empowered Green Mobility Management in Next-Gen Transportation Networks by Kubra Duran, Lal Verda Cakir, Achille Fonzone, Trung Q. Duong, Berk Canberk

“…In summary, DTER takes control of the emission with its transport-specific twin sampling rate and automated management of transportation actions by considering the emission predictions. …”
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AppCraft: Model-Driven Development Framework for Mobile Applications by Lyan Alwakeel, Kevin Lano, Hessa Alfraihi

“…The results demonstrate that AppCraft is applicable and beneficial for the automated generation of usable mobile apps, highlighting significant reductions in development time and effort.…”
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Peripapillary Microvascularization Analysis Using Swept-Source Optical Coherence Tomography Angiography in Optic Chiasmal Compression by Inès Ben Ghezala, Déa Haddad, Julie Blanc, Cyril Meillon, Rachid Madkouri, François Borsotti, Alain M. Bron, Catherine Creuzot-Garcher

“…All patients with chiasmal compression underwent a neuro-ophthalmological examination one week before and 6 months after brain surgery, including static automated perimetry as well as measurement of the thickness of the retinal nerve fiber layer (RNFL) and the ganglion cell complex (GCC) with spectral-domain optical coherence tomography (SD-OCT). …”
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Contemporary digital sociology in search of meaning-making models: the proper and the actual. Review on articles from the research handbook of digital sociology edited by J. Skopek... by E. V. Andrianova, V. A. Davydenko, A. I. Rozmanov

“…The first part of this review presents the key ideas of 15 chapters, focusing on the foundational components of social  theory and their connections to the internet in daily life, digital  technologies for surveys and data processing, the significance  of mobile devices, big data, machine learning, agent-based  models of social phenomena, inclusive digital focus groups, social networking sites in professional contexts, online dating, partner selection based on digital information, the use of digital approaches in online markets, the application of YouTube in social sciences, and automated image analysis. A distinctive feature of the review is its exploration of the intersection between the digital and social spheres, framed as a contradiction between the proper (computer sciences) and the actual (social sciences), reflecting the search for meaning in communication and action within digital and social spaces.…”
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A Microfluidic Biosensor for Quantitative Detection of <i>Salmonella</i> in Traditional Chinese Medicine by Yutong Wu, Yang Liu, Jinchen Ma, Shanxi Zhu, Xiaojun Zhao, Huawei Mou, Xuanqi Ke, Zhisheng Wu, Yifei Wang, Sheng Lin, Wuzhen Qi

“…This entire process was automated using a portable device, and <i>Salmonella</i> concentration was analyzed via a phone application. …”
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Three-stage automatic operational modal analysis using mathematical mode elimination by density-based clustering method by A. Salar Mehrabad, A. Shooshtari

“…In recent years, there has been extensive research on automating OMA methods for modal parameter estimation. …”
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Zero-Shot Remote Sensing Scene Classification Based on Automatic Knowledge Graph and Dual-Branch Semantic Correlation Supervision by Chao Wang, Jiajun Yang, Tanvir Ahmed, Yang Zhao, Tong Zhang, Bing Sun, Tao Xie, Jie Wang, Tianyu Chen

“…&#x201D; This method starts with the scenes and automates the construction of a knowledge graph, &#x201C;scene-landscape-ground objects&#x201D; (ASLG-KG), by analyzing the composition and spatial distribution of ground objects in local regions. …”
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A deep learning based model for diabetic retinopathy grading by Samia Akhtar, Shabib Aftab, Oualid Ali, Munir Ahmad, Muhammad Adnan Khan, Sagheer Abbas, Taher M. Ghazal

“…Thus, the aim of this research is to develop an automated and efficient system for early detection and accurate grading of diabetic retinopathy severity with less time consumption. …”
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Protein identification using Cryo-EM and artificial intelligence guides improved sample purification by Kenneth D. Carr, Dane Evan D. Zambrano, Connor Weidle, Alex Goodson, Helen E. Eisenach, Harley Pyles, Alexis Courbet, Neil P. King, Andrew J. Borst

“…This issue is particularly problematic for self-assembling protein nanomaterials, where unexpected geometries may reflect novel assembly states, cross-contamination, or native proteins originating from the expression host. Here, we used an automated structure-to-sequence pipeline to first identify an unknown co-purifying protein found in several purified designed protein samples. …”
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Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013&#x2013;2024) by Jahmunah Vicnesh, Massimo Salvi, Yuki Hagiwara, Hah Yan Yee, Hasan Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya

“…The reviewed studies demonstrated how various AI techniques, including deep learning and classical machine learning, can be used to develop automated diagnosis systems using IRT images. The efficacy of these AI systems differed depending on the medical field; for example, they could identify dry eye disease with 90&#x2013;100% accuracy, classify diabetic foot ulcers with 85&#x2013;95% accuracy, and detect breast cancer with 80&#x2013;100% accuracy. …”
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Molecular characterization of putative antibiotic resistance determinant and virulence factors genes of Acinetobacter baumannii strains isolated from intensive care unit patients i... by Faris A. Alanazi, Khalid S. Almaary, Turki M. Dawoud, Mohamed A. El-Tayeb, Yahya B. Elbadawi, Ayman S. Mubarak, Ali M. Somily

“…Method: The A. baumannii isolates were confirmed by the VITEK-2 automated system and 16S rRNA phylogenetic relatedness. …”
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Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area by Benedito Chi Man Tam, Su-Kit Tang, Alberto Cardoso

“…For an adaptive feature engineering, an automated lag scheme is essential for improving the training efficiency. …”
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Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT by Emanuele Trucco, Joanna M Wardlaw, Wenwen Li, Grant Mair, Amos Storkey, Alessandro Fontanella, Antreas Antoniou, Eleanor Platt, Paul Armitage

“…Machine learning techniques can provide rapid automated CT assessment but are usually developed from annotated images which necessarily limits the size and representation of development data sets. …”
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A multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images by Anitha Ponraj, Palanigurupackiam Nagaraj, Duraisamy Balakrishnan, Parvathaneni Naga Srinivasu, Jana Shafi, Wonjoon Kim, Muhammad Fazal Ijaz

“…Conclusion The MPa-DCAE model, integrating VGG19 and DCAE, proves to be an effective, automated approach for diagnosing breast cancer. Its high accuracy and generalizability make it a promising tool for clinical practice, potentially improving patient care in histopathology-based breast cancer diagnosis.…”
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Setting and Reaching Targets with Computer-Assisted Cochlear Implant Fitting by Bart Vaerenberg, Geert De Ceulaer, Zoltán Szlávik, Patrizia Mancini, Andreas Buechner, Paul J. Govaerts

“…When recipients used the automated MAPs provided at switch-on, more than half (57%) of the 22 targets were already achieved before any further optimisation took place. …”
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Retinal Nerve Fiber Layer Thickness Progression after Robotic-Assisted Laparoscopic Radical Prostatectomy in Glaucoma Patients by Kazuyuki Hirooka, Kaori Ukegawa, Eri Nitta, Nobufumi Ueda, Yushi Hayashida, Hiromi Hirama, Rikiya Taoka, Yuma Sakura, Mari Yamasaki, Hiroyuki Tsunemori, Mikio Sugimoto, Yoshiaki Kiuchi

“…At 1 month and 1 day before and at 1 and 2 months after the RALP operation, 10 glaucoma patients underwent standard automated perimetry and optical coherence tomography. …”
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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

“…Thus, the study proposes an automated Cyberattack Detection using Binary Metaheuristics with Deep Learning (ACAD-BMDL) method in a CPS environment. …”
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Extracting Fruit Disease Knowledge from Research Papers Based on Large Language Models and Prompt Engineering by Yunqiao Fei, Jingchao Fan, Guomin Zhou

“…Under zero-shot conditions, K-Extract utilizes conversational LLMs to automate the extraction of fruit tree disease knowledge. …”
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Advancements in Public First Responder Programs for Out-of-Hospital Cardiac Arrest: An Updated Literature Review by Michael Kern, Gerrit Jansen, Bernd Strickmann, Thoralf Kerner

“…Smartphone-based systems offer advantages over traditional text messaging by providing real-time guidance and automated external defibrillator (AED) locations. Studies show improved outcomes with app-based alerts, including higher rates of early CPR, increased survival rates and improved neurological outcomes. …”
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Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol by Sarah Khavandi, Ernest Lim, Aisling Higham, Nick de Pennington, Amin Hatamnejad, Sohel Somani, Eric S Tam, Hannah H Chiu

“…A potential solution is using AI technology that can automate care delivery, increase effectiveness and decrease burdens placed on patients and the healthcare system. …”
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