Routing and scheduling optimization for urban air mobility fleet management using quantum annealing by Renichiro Haba, Takuya Mano, Ryosuke Ueda, Genichiro Ebe, Kohei Takeda, Masayoshi Terabe, Masayuki Ohzeki

“…Formulating route planning as a maximum weighted independent set problem enables us to utilize various algorithms and specialized optimization hardware, such as quantum annealers, which has seen substantial progress in recent years. …”
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Optimizing Natural Image Quality Evaluators for Quality Measurement in CT Scan Denoising by Rudy Gunawan, Yvonne Tran, Jinchuan Zheng, Hung Nguyen, Rifai Chai

“…Evaluating the results of image denoising algorithms in Computed Tomography (CT) scans typically involves several key metrics to assess noise reduction while preserving essential details. …”
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Diagnosis and Treatment of Patients with Autoimmune Hepatitis (Experts’ Agreement) by Yu. G. Sandler, E. V. Vinnitskaya, K. L. Raikhelson, K. V. Ivashkin, S. N. Batskikh, E. N. Aleksandrova, D. T. Abdurakhmanov, D. I. Abdulganieva, I. G. Bakulin, A. O. Bueverov, S. L. Vorobyev, O. A. Gerasimova, A. I. Dolgushina, M. S. Zhuravleva, L. Yu. Ilchenko, V. E. Karev, N. V. Korochanskaya, I. L. Kliaritskaia, N. S. Karnaukhov, S. V. Lapin, M. A. Livzan, M. V. Maevskaya, N. V. Marchenko, T. P. Nekrasova, I. G. Nikitin, A. A. Novikov, R. G. Saifutdinov, E. V. Skazyvaeva, V. E. Syutkin, M. K. Prashnova, T. Yu. Khaymenova, S. G. Khomerik

“…This publication presents the main discussion points of the agreement regarding methods and algorithms for detecting autoantibodies, the role of liver biopsy, revised morphological criteria for AIH, optimized immunosuppressive therapy regimens, updated criteria for assessing the response to therapy.Conclusions. …”
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Deep learning for cyber threat detection in IoT networks: A review by Alyazia Aldhaheri, Fatima Alwahedi, Mohamed Amine Ferrag, Ammar Battah

“…We review recent advancements in IDS for IoT, highlighting the underlying deep learning algorithms, associated datasets, types of attacks, and evaluation metrics. …”
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A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor by Fan Hangming, Pan Junlin, Wang Yongchen, Yuan Zhe, Cheng Mengfan, Yang Qi, Liu Deming, Deng Lei

“…Here, we present an efficient methodology that combines metamaterials, heuristic algorithms, and machine learning to facilitate the rapid development of intricate devices. …”
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A systematic review of AI-enhanced techniques in credit card fraud detection by Ibrahim Y. Hafez, Ahmed Y. Hafez, Ahmed Saleh, Amr A. Abd El-Mageed, Amr A. Abohany

“…This paper provides a systematic review of enhanced techniques using Artificial Intelligence (AI), machine learning (ML), deep learning (DL), and meta-heuristic optimization (MHO) algorithms for credit card fraud detection (CCFD). Carefully selected recent research papers have been investigated to examine the effectiveness of these AI-integrated approaches in recognizing a wide range of fraud attacks. …”
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Wearable microfluidic biosensors with haptic feedback for continuous monitoring of hydration biomarkers in workers by Julia C. Spinelli, Brandon J. Suleski, Donald E. Wright, Joseph L. Grow, Gabriel R. Fagans, Maura J. Buckley, Da Som Yang, Kaitao Yang, Steven M. Beil, Jessica C. Wallace, Thomas S. DiZoglio, Jeffrey B. Model, Shirley Love, David E. Macintosh, Alan P. Scarth, Matthew T. Marrapode, Corinna Serviente, Raudel Avila, Barrak K. Alahmad, Michael A. Busa, John A. Wright, Weihua Li, Douglas J. Casa, John A. Rogers, Stephen P. Lee, Roozbeh Ghaffari, Alexander J. Aranyosi

“…Here we present a closed-loop electrochemical/biophysical wearable sensing device and algorithms that directly measure whole-body sweat loss, sweating rate, sodium concentration, and sodium loss with electrode arrays embedded in a microfluidic channel. …”
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High-Level Design Space and Flexibility Exploration for Adaptive, Energy-Efficient WCDMA Channel Estimation Architectures by Zoltán Endre Rákossy, Zheng Wang, Anupam Chattopadhyay

“…In this paper, we conduct a case study for representatives of two complexity classes of WCDMA channel estimation algorithms and explore the effect of flexibility on energy efficiency using different implementation options. …”
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Soil Water Availability Modulation Over Estimated Relative Yield Losses in Wheat (Triticum aestivum L.) Due to Ozone Exposure by Daniel De la Torre, Maria Jose Sierra

“…The main objective pursued was to prove the importance of soil water availability in the estimation of relative wheat yield losses as a factor that modifies the effects of tropospheric ozone on wheat, and to develop the algorithms required for the estimation of relative yield losses, adapted to the Mediterranean environmental conditions. …”
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Modeling financial market dynamics with the use of fuzzy by K. A. Polekhina, G. Eu. Polekhina

“…Fuzzy mathematics is a   branch of   mathematics that studies methods and algorithms for dealing with fuzzy data and fuzzy objects. …”
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Bacterial Isolates and Antibiotic Sensitivity among Gambian Children with Severe Acute Malnutrition by Uduak A. Okomo, Danlami Garba, Augustin E. Fombah, Ousman Secka, Usman N. A. Ikumapayi, Jacob. J. Udo, Martin O. C. Ota

“…Establishing the pattern of infection and antimicrobial sensitivities in the local environment is critical to rational use of antibiotics and the development of management algorithms. Methods. Morbidity history and physical examination of 140 children with severe acute malnutrition were recorded. …”
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Joints Parameters Identification in Numerical Modeling of Structural Dynamics by Yuedong Yang, Jiqing Chen, Fengchong Lan, Fei Xiong, Zicong Zeng

“…In present work, multiobjective optimization algorithms are used to identify joints parameters by approaching actual test results in each series of structure to decrease unreliable or error for numerical modeling. …”
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A Simulation Model for Machine Efficiency Improvement Using Reliability Centered Maintenance: Case Study of Semiconductor Factory by Srisawat Supsomboon, Kanthapong Hongthanapach

“…The simulation optimization approach based on evolutionary algorithms was employed for the preventive maintenance technique selection process to select the PM interval that gave the best total cost and Lead PPM values. …”
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Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details by Andreas Fieselmann, Markus Kowarschik, Arundhuti Ganguly, Joachim Hornegger, Rebecca Fahrig

“…We also discuss practical details that are needed to properly implement algorithms for perfusion analysis. Our description of the practical computer implementation is focused on the most frequently employed algebraic deconvolution methods based on the singular value decomposition. …”
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Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato by Vito Aurelio Cerasola, Francesco Orsini, Giuseppina Pennisi, Gaia Moretti, Stefano Bona, Francesco Mirone, Jochem Verrelst, Katja Berger, Giorgio Gianquinto

“…Three nonparametric algorithms were trained, i.e., Gaussian Process Regression (GPR), Support Vector Regression (SVR), and Partial Least Square Regression (PLSR). …”
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First-in-human dose escalation trial to evaluate the clinical safety and efficacy of an anti-MAGEA1 autologous TCR-transgenic T cell therapy in relapsed and refractory solid tumors by Ignacio I Wistuba, Mamta Kalra, Linus Backert, Martin Wermke, Edwin R Parra, Jason John Luke, Apostolia M Tsimberidou, Sebastian Bunk, Mohammad B Hossain, Andrea Mayer-Mokler, Arun Satelli, Norbert Hilf, Steffen Walter, Cedrik M Britten, Van K Morris, Tobias A W Holderried, Winfried H Alsdorf, Katrin Wetzko, Borje S Andersson, Sandra Grund-Gröschke, Katrin Aslan, Anantha Marisetty, Swapna Satam, Jens Hukelmann, M Alper Kursunel, Karine Pozo, Andreas Acs, Melissa Baumeister, Claudia Wagner, Oliver Schoor, Ali S Mohamed, Delfi Krishna

“…We investigated the safety and tolerability of IMA202 in a first-in-human, dose escalation basket trial in human leucocyte antigen A*02:01 positive patients with melanoma-associated antigen A1 (MAGEA1)-positive advanced solid tumors.Trial design The 2+2 trial design was an algorithmic design based on a maximally acceptable dose-limiting toxicity (DLT) rate of 25% and the sample size was driven by the algorithmic design with a maximum of 16 patients. …”
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Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validation by Guiling Wu, Guiling Wu, Sihui Wu, Sihui Wu, Tian Xiong, Tian Xiong, Tian Xiong, You Yao, You Yao, Yu Qiu, Yu Qiu, Yu Qiu, Liheng Meng, Cuihong Chen, Xi Yang, Xi Yang, Xi Yang, Xinghuan Liang, Yingfen Qin

“…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …”
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Exploiting Microwave Imaging Methods for Real-Time Monitoring of Thermal Ablation by Rosa Scapaticci, Gennaro G. Bellizzi, Marta Cavagnaro, Vanni Lopresto, Lorenzo Crocco

“…In particular, two model-based inversion algorithms are exploited to tackle the imaging task. …”
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Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations by Ayodele Abiola Periola, Olabisi Emmanuel Falowo

“…OCS enables the underutilised HPC to be used to train learning algorithms of a cognitive base station. The performances of the three mechanisms are evaluated. …”
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Advancing buffet onset prediction: a deep learning approach with enhanced interpretability for aerodynamic engineering by Jing Wang, Wei Liu, Hairun Xie, Miao Zhang

“…After that, employing explainable machine learning techniques, including Gradient-weighted Class Activation Mapping (Grad-CAM), random forest algorithms, and statistical analysis, the research investigates the correlations between supervised CNN features and key physical characteristics related with the separation region, shock wave, leading edge suction peak, and post-shock loading. …”
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