Evaluation of Quality Control Performance of Gem Premier 4000 Using Inbuilt Intelligent Quality Management on Sigma Scale by Jayesh Warade

“…Any change that exceeds the established statistical control limit leads to further assessment <italic>via</italic> iQM’s failure pattern recognition (PR) software, including corrective actions based on pattern detection algorithms. Results: All the parameters performed on Gem Premier 4000 have shown world-class performance above the Six Sigma matrix on the sigma scale. …”
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Modeling Particle Transport in Astrophysical Outflows and Simulations of Associated Emissions from Hadronic Microquasar Jets by D. A. Papadopoulos, O. T. Kosmas, S. Ganatsios

“…In this work, after improving the formulation of the model on particle transport within astrophysical plasma outflows and constructing the appropriate algorithms, we test the reliability and effectiveness of our method through numerical simulations on well-studied galactic microquasars as the SS 433 and the Cyg X-1 systems. …”
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Decoding pixels: A modular software prototype for cognitive image-based diagnostics of PV plants by Tsanakas John Ioannis A., Marechal Philippe

“…In this paper, we introduce a software prototype, evolved from an innovative diagnostics framework researched and developed by CEA-INES over the last years, which integrates aIRT imagery with deep learning-based algorithms and physical/electrical modeling. With such an approach, unlike conventional ones, we worked on reaching both qualitative fault detection and quantitative (power loss) insights, with a focus on various spatial granularity levels within PV systems. …”
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Modelling trial-by-trial changes in the mismatch negativity. by Falk Lieder, Jean Daunizeau, Marta I Garrido, Karl J Friston, Klaas E Stephan

“…It has been used to demonstrate that the brain learns the statistical structure of its environment and predicts future sensory inputs. However, the algorithmic nature of these computations and the underlying neurobiological implementation remain controversial. …”
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Artificial Intelligence Applications in Pediatric Craniofacial Surgery by Lucas M. Harrison, Ragan L. Edison, Rami R. Hallac

“…AI-driven algorithms assist in preoperative planning by identifying anatomical abnormalities, predicting surgical outcomes, and guiding personalized treatment strategies. …”
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Visual navigation and crop mapping of a phenotyping robot MARS-PhenoBot in simulation by Zhengkun Li, Rui Xu, Changying Li, Longsheng Fu

“…We developed a navigation strategy that fuses multiple cameras to guide the robot to follow crop rows and transition between them, enabling visual navigation across the entire field without relying on global navigation satellite system (GNSS) signals. Three row-detection algorithms, including thresholding-based, detection-based, and segmentation-based methods, were compared and evaluated in simulated crop fields with discontinuous and continuous crop rows, as well as with and without the presence of weeds. …”
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Gender and age characteristics and atrial fibrillation during long-term telemonitoring of the ECG by V.M. Bogomaz, I.O. Berdnyk, L.I. Lysa

“…The primary analysis of the records was carried out using Cardio.ai artificial intelligence algorithms, re-decryption and validation by certified doctors. …”
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Analyzing mental stress in Indian students through advanced machine learning and wearable technologies by Shruti Gedam, Sandip Dutta, Ritesh Jha

“…The findings reveal that the suggested model detects mental stress with an accuracy of 96.17%, with the XGBoost method outperforming other algorithms in multivariate analysis. …”
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Motion Cancellation Technique of Vital Signal Detectors Based on Continuous-Wave Radar Technology by Min-Seok Kwon, Yuna Park, Joo-Eun Park, Geon-Haeng Lee, Sang-Hoon Jeon, Jae-Hyun Lee, Joon-Hyuk Yoon, Jong-Ryul Yang

“…However, external disturbances, such as random body motion (RBM) or environmental interference, significantly degrade the signal-to-noise ratio (SNR) and reduce the accuracy of vital sign detection. The various motion cancellation techniques that have been proposed to enhance robustness against RBMs include improvements in radar architecture, advanced signal processing algorithms, and studies on electromagnetic propagation characteristics. …”
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Automatic Filtering of Sugarcane Yield Data by Eudocio Rafael Otavio da Silva, José Paulo Molin, Marcelo Chan Fu Wei, Ricardo Canal Filho

“…A three-step automated filtering algorithm based on a sliding window was developed and further evaluated with four configurations of the maximum variation factor <i>f</i> and six SW sizes. …”
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Activation-induced cytidine deaminase (AID)-associated multigene signature to assess impact of AID in etiology of diseases with inflammatory component. by Diana Mechtcheriakova, Yury Sobanov, Gabriele Holtappels, Erika Bajna, Martin Svoboda, Markus Jaritz, Claus Bachert, Erika Jensen-Jarolim

“…Functionally active AID can additionally be detected within ectopic follicular structures developed at sites of chronic inflammation. …”
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Method for Distinguishing the Digital Images in Different Formats by Kobozeva A.A., Bobok I.I., Kushnirenko N.I.

“…The algorithm efficiency was evaluated using Type I and Type II errors, as well as ap-plying the accuracy coefficient (ACC). …”
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Explainable deep learning approach for recognizing “Egyptian Cobra” bite in real-time by Elhoseny Mohamed, Hassan Ahmed, Shehata Marwa H., Kayed Mohammed

“…We deploy IoT-enabled wearable devices equipped with sensors capable of detecting snake bites, whereas these sensors measure changes in physiological parameters indicative of a snakebite, such as heart rate, blood pressure, and temperature sensors based on our proposed mathematical algorithm. …”
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A MIMO Detector With Deep-Neural-Network for Faster-Than-Nyquist Optical Wireless Communications by Minghua Cao, Ruifang Yao, Qinxue Sun, Yue Zhang, Qing Yang, Huiqin Wang

“…Conventional multiple input multiple output (MIMO) detection algorithms face challenges related to computational complexity and limited performance when handling high-dimensional inputs and complex channel conditions. …”
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Approach to shoulder instability: a randomized, controlled trial by Julien Caron, MD FRCSC, Kellen Walsh, MD FRCSC, Tinghua Zhang, MSc, Rashed AlAhmed, MBChB MSc FRCSC, Peter B. MacDonald, MD FRCSC, Cristina Bassi, MD, J Whitcomb Pollock, MD FRCSC MSc, Katie McIlquham, BSc, Peter Lapner, MD FRCSC

“…The aim was to compare two surgical treatment algorithms: the ISI score and a conventional treatment algorithm (CTA). …”
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OCT Angiography: A promising tool in Glaucoma by Priya Saraf, Neha Sachdeva, Hage Amung

“…It is based on split spectrum amplitude decorrelation algorithm (SSADA) which detects moving red blood cells and eliminates other noise (information). …”
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RL-BES: optimizing strategies using reinforcement learning for blockchain economic security by Erdeng Wen, Zhuotao Deng, Yifan Mo, Yuren Zhou, Xiaohong Shi

“…However, current MEV detection methods have notable limitations. These include poor adaptability of algorithms, the vastness of the search space, and the inefficiency of methods that rely on traditional heuristic approaches. …”
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Current application of artificial intelligence in laparoscopic cholecystectomy by S.M. Chooklin, S.S. Chuklin

“…The review considers the commonly used deep learning algorithms in CV and describes their usage in detail in four application scenes, including phase recognition, anatomy detection, instrument detection and action recognition in laparoscopic cholecystectomy. …”
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Applications of artificial intelligence in thoracic imaging: a review by Arjun Kalyanpur, Neetika Mathur

“…Studies have shown that several AI algorithms have been trained to detect acute chest conditions such as pulmonary embolism, aortic dissection, pneumonia, rib fractures, and lung nodules with high sensitivity and specificity, offering substantial benefits in emergency and high-workload environments. …”
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Synchronization method for long-term evolution-based machine-type communication in low-power cellular Internet of Things by Rothna Pec, Joo-Hyung Choi, Chang-Hwan Park, Yong Soo Cho

“…In this article, a complete synchronization and cell search procedure is described for machine-type communication devices in long-term evolution systems. Low-complexity algorithms for primary synchronization signal and secondary synchronization signal detection, which requires the highest computational complexity in synchronization and cell search period, are also proposed for low-power machine-type communication devices. …”
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