Treatment Tactics for Psychosis in Parkinson’s Disease: A Literature Review by Daiva Milmantienė

“…Non-pharmacological treatment may include electroconvulsive therapy, deep brain stimulation, and transcranial direct current stimulation. Use of treatment algorithms is recommended. Further research is necessary to discover new drugs specifically targeting the treatment of this disorder. …”
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Artificial intelligence and machine learning in production efficiency enhancement and sustainable development: a comprehensive bibliometric review by Aristidis Bitzenis, Nikos Koutsoupias, Marios Nosios

“…The study analyzes key ML algorithms in various production settings. This study conducts systematic bibliometric analysis using the Scopus database and Bibliometrix R package, examining global trends, key collaborations, and thematic focuses on AI and ML applications in production efficiency and sustainable development. …”
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Retail commodity detection method based on location learnable visual center mechanism by Xiaohua LYU, Mingchen WEI, Libo LIU

“…To address the problem of low detection accuracy caused by the difficulty in effectively capturing significant and diversified feature information for packaging deformation and overlap products, a location learnable visual center (LLVC) mechanism was designed to improve YOLOX-s, achieving higher detection accuracy.To effectively deal with product packaging deformation and overlap phenomena, firstly, global context information was captured through a lightweight multi-layer perceptron to help the model better understand spatial information in product features.Secondly, the local feature representation ability was enhanced by the designed LLVC and the spatial information was used to allocate learnable weights for local features to increase the attention of discriminative local features.Finally, the intersection over union (IoU) loss function was replaced with centered intersection over union (CIoU) and power parameters were introduced on this basis to effectively reduce the missed detection rate.Experimental results show that the proposed method achieves an accuracy of 91.3% on the retail product checkout (RPC) dataset, which is 2.2% higher than YOLOX-s and better than current mainstream lightweight object detection algorithms.At the same time, frame per second (FPS) is 97 frame/s, and the model size is 9.48 MB.It can accurately and in real-time detect retail products in scenarios where computing resources are limited.…”
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Comparative evaluation between Java application using JNI and native C/C++ application running on an Android platform. by Alison de Oliveira Venâncio, Thales Ruano Barros de Souza, Bruno Raphael Cardoso Dias

“…This article evaluated the performance difference between Java applications using JNI with the NDK and native C/C++ applications, focusing on algorithms widely used in various areas such as automation, networking, telecom, cybersecurity, etc. …”
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IoT SOLUTION FOR LEVEL MEASUREMENT IN THE OIL AND GAS INDUSTRY by Constantin Octavian Bercea

“…The intelligent modules of the system process, based on software algorithms, the data from the sensors and communicate them to other microprocessor subsystems for conversions, storage and presentation of the results. …”
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Document Verification System Using Image Processing: A Case Study of Kabale Municipality. by Ojara, Walter

“…The system is developed using state-of-the-art image processing algorithms, such as Optical Character Recognition (OCR), to extract text from scanned documents. …”
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Design and Prototype of a Solar Array Malfunction Identification System. by Wabuyi, Richard

“…SAMIS integrates cutting-edge monitoring technologies and data analysis algorithms to detect, diagnose, and report issues within solar arrays. …”
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Design and Prototype of a Local Relay Fault Detection System for Three Phase Power Lines. by Lutaama, Samuel

“…The methodology covers system architecture, fault detection algorithms, and the prototype development process, which integrates sensors and a user interface for monitoring. …”
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Ekyeyo Mobile Application by Nkuba, Blair, Kansiime, Daniel

“…The app incorporates advanced search algorithms, tailored job recommendations, and streamlined candidate screening to improve job-matching accuracy. …”
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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

“…We demonstrate how existing open-source datasets can be spatially integrated and subsequently used as training for machine learning (ML) models to predict building occupancy type, a major component needed for disaster preparedness and decision -making. Multiple ML algorithms are compared. We address strategies to handle significant class imbalance and introduce Bayesian neural networks to handle prediction uncertainty. …”
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Quantum Circuit for Imputation of Missing Data by Claudio Sanavio, Simone Tibaldi, Edoardo Tignone, Elisa Ercolessi

“…We train and test the performance of the algorithms on a series of datasets finding good convergence of the results. …”
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Design of integrated radar and communication system based on solvable chaotic signal by Jun-Liang Yao, Mei-Xin He, Yu-Jie Ma, Yun-Fan Yang, Hui-Ping Yin, Hui Hui

“…Second, the system and frame structures of IRCS using chaos as baseband signal and the corresponding signal processing algorithms are given. Third, the ambiguity function, radar detection errors and communication decoding errors of the proposed scheme are analyzed. …”
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The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning by Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang, Haimeng Li, Sheng Hong, Zhiping Wu

“…In this paper, an available prediction model is established by Long Short‐Term Memory (LSTM)‐based ensemble learning algorithms. However, the generalization ability of the deep learning model is often suspicious since training data and testing data are from the same data set in the conventional method. …”
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On Oscillations and Noise in Multicomponent Adsorption: The Nature of Multiple Stationary States by Olga M. Jakšić, Zoran Jakšić, Milena B. Rašljić, Ljiljana Z. Kolar-Anić

“…We address perturbations around the steady state analytically, first in a classical way, then by introducing Langevin forces and analyzing the reaction flux and cross-correlations, then by applying the stochastic chemical master equation approach, and finally, numerically, by using stochastic simulation algorithms. Our results show that stationary states in this model are stable nodes. …”
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Computer Vision with Error Estimation for Reduced Order Modeling of Macroscopic Mechanical Tests by Franck Nguyen, Selim M. Barhli, Daniel Pino Muñoz, David Ryckelynck

“…This article details simple algorithmic choices that allowed a realistic mechanical modeling via computer vision.…”
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Harnessing the potential of human induced pluripotent stem cells, functional assays and machine learning for neurodevelopmental disorders by Ziqin Yang, Ziqin Yang, Nicole A. Teaney, Nicole A. Teaney, Elizabeth D. Buttermore, Elizabeth D. Buttermore, Elizabeth D. Buttermore, Mustafa Sahin, Mustafa Sahin, Mustafa Sahin, Wardiya Afshar-Saber, Wardiya Afshar-Saber

“…Recent progress in machine learning (ML) algorithms also presents unprecedented opportunities to advance the NDD research process. …”
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Checking the consistency of 3D geological models by M. N. Parquer, E. A. de Kemp, B. Brodaric, M. J. Hillier

“…<p>Three-dimensional geological modelling algorithms can generate multiple models that fit various mathematical and geometrical constraints. …”
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Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation by Kenny A. Q. Caldas, Roberto S. Inoue, Marco H. Terra, Vitor Guizilini, Fabio Ramos

“…For outdoor navigation, sensor fusion algorithms may also use magnetometers and GPS modules, since in indoor environments and certain urban areas they may suffer from measurements corruption in the presence of ferromagnetic materials and signal occlusion, respectively. …”
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3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

“…Abstract Body composition prediction from 3D optical imagery has previously been studied with linear algorithms. In this study, we present a novel application of deep 3D convolutional graph networks and nonlinear Gaussian process regression for human body shape parameterization and body composition estimation. …”
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Tracking solid electrolyte interphase dynamics using operando fibre-optic infra-red spectroscopy and multivariate curve regression by Cédric Leau, Yu Wang, Charlotte Gervillié-Mouravieff, Steven T Boles, Xiang-Hua Zhang, Simon Coudray, Catherine Boussard-Plédel, Jean-Marie Tarascon

“…This work employs chalcogenide fibres embedded in negative electrode materials for operando Infra-red Fibre-optic Evanescent Wave Spectroscopy (IR-FEWS), combined with Multivariate Curve Resolution by Alternating Least Squares (MCR-ALS) algorithms for spectra analysis. By establishing molecular fingerprints that can be used to identify reaction products, IR-FEWS combined with MCR-ALS enables improved understanding of SEI evolution during cell formation with notable differences stemming from electrolyte or anode material. …”
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