Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

“…Finally, model compression through filter pruning, driven by evolutionary algorithms, trims redundant parameters to improve computational efficiency while preserving model accuracy. …”
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An Overview of Computational Models for Industrial Internet of Things to Enhance Usability by Zhen Ying, Iftikhar Ahmad, Saima Mateen, Asad Zia, Ambreen, Shah Nazir, Neelam Mukhtar

“…The study will facilitate research community and practitioners to develop novel techniques, algorithms, and tools to automate and facilitate IIoT. …”
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Evolving concepts in intracranial pressure monitoring - from traditional monitoring to precision medicine by Rohan Mathur, Lin Cheng, Josiah Lim, Tej D. Azad, Peter Dziedzic, Eleanor Belkin, Ivanna Joseph, Bhagyashri Bhende, Sudha Yellapantula, Niteesh Potu, Austen Lefebvre, Vishank Shah, Susanne Muehlschlegel, Julian Bosel, Tamas Budavari, Jose I. Suarez

“…This paper provides historical and physiological context to the problem of elevated ICP, provides an overview of the challenges of the current paradigm of ICP management strategies, and discusses advances in ICP waveform analysis, emerging non-invasive ICP monitoring techniques, and applications of machine learning to create predictive algorithms.…”
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Repeated intravenous infusions of esketamine in inpatients with bipolar depression: A retrospective real-world study by Naima Guhad Shire, Michael Ioannou, Örjan Falk, Ane Bakken Wold, Caroline Wass, Zoltán Szabó, Steinn Steingrimsson

“…Conclusions: Preliminary results of IV esketamine for bipolar depression are promising, but its role in treatment algorithms requires clarification. Randomized controlled studies are needed to investigate its effectiveness further.…”
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FcFNet: A Challenge-Based Feature Complementary Fusion Network for RGBT Tracking by Wensheng Wang, Congjian Li, Di Zhang, Huihui Zhou, Mingli Xie, Haoran Zhou, Kun Fu

“…The proposed FcFNet exhibits competitive performance compared with other state-of-the-art tracking algorithms, especially in continuous tracking tasks for noncooperative targets.…”
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The Convergence of AI and animal-inspired robots for ecological conservation by Naqash Afzal, Mobeen ur Rehman, Lakmal Seneviratne, Irfan Hussain

“…Furthermore, this approach provides a novel means to study species that are difficult to observe directly, due to their elusive nature or the inaccessibility of their habitats.The collaborative interaction between AI and animal robots opens up avenues for the development of responsive and adaptable conservation strategies. AI algorithms deployed on interactive animal robots can continuously analyze real-time data from the field, allowing for dynamic adjustments in conservation approaches based on emerging patterns and threats. …”
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Higher performance enhancement of direct torque control by using Space Vector Modulation for doubly fed induction machine by Gouaamar Radouan, El Fadl Adiba, Bri Seddik, Mekrini Zineb

“…All proposed control algorithms have been subjected to rigorous tests and simulations using a MATLAB/Simulink environment. …”
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Harnessing quantum power: Revolutionizing materials design through advanced quantum computation by Zikang Guo, Rui Li, Xianfeng He, Jiang Guo, Shenghong Ju

“…We introduce the loop framework for QUBO‐empowered materials design, including constructing high‐quality datasets that capture critical material properties, employing tailored computational methods for precise material modeling, developing advanced figures of merit to evaluate performance metrics, and utilizing quantum optimization algorithms to discover optimal materials. In addition, we delve into the core principles of QML and illustrate its transformative potential in accelerating material discovery through a range of quantum simulations and innovative adaptations. …”
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Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma by Yi Li, Xinyi Hong, Wenqian Xu, Jinhong Guo, Yongyuan Su, Haolan Li, Yingjie Xie, Xing Chen, Xiong Zheng, Sufang Qiu

“…Differentially expressed genes (DEGs) were identified between radiotherapy-sensitive and resistant samples. Machine learning algorithms and Cox regression were used to construct a prognostic risk model, validated in the GSE102349 dataset. …”
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Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities by Muhammad Alam, Davide Moroni, Gabriele Pieri, Marco Tampucci, Miguel Gomes, José Fonseca, Joaquim Ferreira

“…The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials.…”
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Robust Next-Day Scheduling of PV Generation Sources Supplying a Standalone DC Microgrid via a Semi-Definite Programming Model by Walter Gil-Gonzalez, Oscar Danilo Montoya, Luis F. Grisales-Norena, Fabio Andrade

“…Evaluating a 27-bus standalone DC microgrid, the SDP model outperforms random-based algorithms by achieving global optima in both objectives. …”
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Use of machine learning in osteoarthritis research: a systematic literature review by Francis Berenbaum, Jérémie Sellam, David Klatzmann, Atul J Butte, Karine Louati, Encarnita Mariotti-Ferrandiz, Marie Binvignat, Valentina Pedoia

“…For each selected article, the number of patients, ML algorithms used, type of data analysed, validation methods and data availability were collected.Results From 1148 screened articles, 46 were selected and analysed; most were published after 2017. …”
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Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

“…Classification is performed using various algorithms, evaluated on sensitivity, accuracy, precision, and similarity metrics. …”
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Selection of suitable reference genes for gene expression studies in HMC3 cell line by quantitative real-time RT-PCR by Martina Fazzina, Matteo Bergonzoni, Francesca Massenzio, Barbara Monti, Flavia Frabetti, Raffaella Casadei

“…The comparative ∆CT method, BestKeeper, Normfinder, geNorm and RefFinder algorithms were used to assess the stability of the candidate genes. …”
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The Role of Immersive Experience in Anxiety Reduction: Evidence from Virtual Reality Sessions by Dominika Wilczyńska, Tamara Walczak-Kozłowska, David Alarcón, María José Arenilla, Jose Carlos Jaenes, Marcelina Hejła, Mariusz Lipowski, Joanna Nestorowicz, Henryk Olszewski

“…Both groups used goggles for virtual space navigation, with the experimental group employing a multijoint arm mounted on an aluminum frame and special algorithms to navigate without controllers. We assessed immersion in VR using the Polish adaptation of the Immersion Questionnaire and anxiety using the Polish adaptations of the State–Trait Anxiety Inventory (STAI-X1) and its early adolescent version, the State–Trait Anxiety Inventory–Children (STAI-C1). …”
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Matrix Metalloproteinase-9 is associated with tumor microenvironment remodeling of bladder cancer by Fang Fang, Tiange Wu, Mengxue Wang, Wenchao Li, Zonghao You, Ming Chen, Han Guan

“…We utilized these two algorithms to analyze the immune components of 433 bladder cancer cases from The Cancer Genome Atlas database, aiming to compensate for the current lack of large-sample single-cell information. …”
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Late pregnancy analysis with Yunban’s remote fetal monitoring system by Qiuping Wang, Weihua Yang, Lie Li, Guokai Yan, Huihui Wang, Jianqiang Li

“…In order to get more effective data, we used the Kalman filter and audio repair algorithms to preprocess the collected data. During follow-up observation, we compared the two groups using neonatal cardiac monitoring by employing the non-stress test and observed the occurrence of neonatal asphyxia. …”
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Optimal Molecular Methods in Detecting p190BCR-ABL Fusion Variants in Hematologic Malignancies: A Case Report and Review of the Literature by Rebecca J. Sonu, Brian A. Jonas, Denis M. Dwyre, Jeffrey P. Gregg, Hooman H. Rashidi

“…Incorporating NGS methods in an algorithmic manner into the standard diagnostic PCR-based approach for BCR-ABL1 will aid in minimizing false negative results.…”
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Cloud and Cloud Shadow Detection for Multi-Modal Imagery With Gap-Filling Applications by Keunhoo Cho, Seongwook Park, Boram Seong, Seongwhan Lee, Jae-Pil Park

“…Cloud and cloud shadow (CCS) detection algorithms play a crucial role in the preprocessing of remote sensing data and directly affect the accuracy of subsequent analyses, making them an essential step in most analytical processes. …”
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Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review by María de la Paz Scribano Parada, Fátima González Palau, Sonia Valladares Rodríguez, Mariano Rincon, Maria José Rico Barroeta, Marta García Rodriguez, Yolanda Bueno Aguado, Ana Herrero Blanco, Estela Díaz-López, Margarita Bachiller Mayoral, Raquel Losada Durán

“…The potential of VR remains underexplored, and AI algorithms offer a multidimensional approach to early neurocognitive disorder diagnosis. …”
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