HybridBranchNetV2: Towards reliable artificial intelligence in image classification using reinforcement learning. by Ebrahim Parcham, Mansoor Fateh, Vahid Abolghasemi

“…Many artificial intelligence (AI) algorithms struggle to adapt effectively in dynamic real-world scenarios, such as complex classification tasks and object relationship extraction, due to their predictable but non-adaptive behavior. …”
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Architecture and Application-Aware Management of Complexity of Mapping Multiplication to FPGA DSP Blocks in High Level Synthesis by Sharad Sinha, Thambipillai Srikanthan

“…Multiplication is a common operation in many applications and there exist various types of multiplication operations. …”
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Analysis of Generalization Ability for Different AdaBoost Variants Based on Classification and Regression Trees by Shuqiong Wu, Hiroshi Nagahashi

“…As the popularity of AdaBoost increases, many variants have been proposed to improve the performance of AdaBoost. …”
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“Agrarian Unrest” in Central Black Earth Region in Autumn 1905 by V. A. Ippolitov

“…The author explores the causes, algorithms, and characteristics of peasant uprisings, analyzing the role of "leaders" in "agrarian unrest," often led by young individuals less inclined to adhere to traditions. …”
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Older LGBTQ+ and blockchain in healthcare: A value sensitive design perspective by Poulsen Adam, Fosch-Villaronga Eduard

“…Most algorithms deployed in healthcare do not consider gender and sex despite the effect they have on individuals’ health differences. …”
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On the practical, ethical, and legal necessity of clinical Artificial Intelligence explainability: an examination of key arguments by Justin Blackman, Richard Veerapen

“…While the use of autonomous black box algorithms is compellingly discouraged, the same cannot be said for the whole of medical artificial intelligence technologies that lack explainability. …”
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Recurrence Rates of Pilonidal Sinus Disease Are High in Children and Recurrences Occur Exceedingly Early by Christina Oetzmann von Sochaczewski, Dietrich Doll

“…While recurrence rates in adults are lower, with a minimum of 2% per year, and are essentially a function of the surgical approach over time, this is totally different in children. Many studies investigating children and adolescents report much higher recurrence rates. …”
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AN EMPIRICAL ANALYSIS OF TRADITIONAL RECOGNITION METHODS USING EXAMPLES OF IDENTIFYING WORDS SPOKEN BY NATIVE SPEAKERS by Elchin Ismailov

“… Many users now interact with a form of artificial intelligence on a daily basis through search engines, social media, and voice recognition software. …”
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Efficient Learning of Long-Range and Equivariant Quantum Systems by Štěpán Šmíd, Roberto Bondesan

“…In this work, we consider a fundamental task in quantum many-body physics – finding and learning ground states of quantum Hamiltonians and their properties. …”
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A Comprehensive Analysis of Fake News Detection Models: A Systematic Literature Review and Current Challenges by Alok Mishra, Halima Sadia

“…Our study focuses on how machine learning and deep learning algorithms are used to detect fraudulent data. The most fundamental and practical techniques deployed over recent years are investigated, classified, and defined in numerous datasets in an extended review model. …”
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Enhancing Privacy While Preserving Context in Text Transformations by Large Language Models by Tymon Lesław Żarski, Artur Janicki

“…Despite the convenience, many users are unaware of the risks posed to their sensitive and personal data. …”
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Artificial intelligence applications in cardiology: a review by I. A. Soloviev I.A., O. N. Kurochkina

“…This paper highlights the key limitations of the large language model technology, such as the lack of standard algorithms for collecting and reviewing data, lack of understanding of the context, the inability of models to form expert conclusions, and the emergence of many problematic ethical characteristics when using large language models.…”
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THE IMPACT OF ECONOMIC COMPANY DATA THEFT by Ramona MARGE, Ştefan IOVAN

“…In terms of preventing internal threats, solutions have powerful encryption algorithms that protect important business information, application control tools, device control, web control and mobile device management features to implement IT security policies. …”
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Innovating Automatic Grow Pots with Cutting-Edge Smart Hydroponic System by Mohamed Aezeden

“…This hydroponic system has the potential to bring about many advantages to sustainable agriculture by advancing the ways in which urban farming is conducted. …”
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Exploring machine learning approaches for precipitation downscaling by Honglin Zhu, Qiming Zhou, Jukka M. Krisp

“…To achieve reliable and finer-scale precipitation data, many techniques and frameworks have been employed to improve the resolution of the satellite-derived precipitation data. …”
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Comparing Models and Performance Metrics for Lung Cancer Prediction using Machine Learning Approaches. by Ruqiya, Noman Khan, Saira Khan

“…To achieve these goals, we explored many ML algorithms and compared them using a dataset with lifestyle and health data. …”
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Fault Type Determination on Distribution Networks Lines within Functions of Microprocessor Current Protections by F. A. Romaniuk, A. A, Tishechkin, E. V. Buloichyk

“…The paper presents a comparative estimation of techniques for asymmetrical fault determination on distribution networks lines and contains an analysis of the results pertaining to the investigations on application of aforementioned techniques in the line microprocessor current protection algorithms. The investigations have been carried out while using a computing experiment method. …”
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Assessment of food toxicology by Alexander Gosslau

“…The mechanisms of toxicant actions are multifactorial but many toxic effects converge on the generation of oxidative stress and chronic inflammation resulting in cell death, aging and degenerative diseases. …”
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Delay Bounded Roadside Unit Placement in Vehicular Ad Hoc Networks by Peng Li, Chuanhe Huang, Qin Liu

“…Then, we propose several heuristic algorithms to solve DRP-L and DRP-W problems, respectively. …”
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TempODEGraphNet: predicting user churn using dynamic social graphs and neural ODEs. by Minseop Lee, Jiyoung Woo

“…Due to this characteristic, many studies on churn prediction have considered the relationships between users and have primarily applied social network analysis. …”
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