Blockchain-enabled efficient distributed attribute-based access control framework with privacy-preserving in IoV by Ye Zhang, Leyou Zhang, Qing Wu, Yi Mu

“…Numeral experiments to show the proposed scheme has many advantages of over others such as the storage cost, the whole time consume of the proposed algorithms and the proxy computation cost.…”
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Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies by Leonidas Theodorakopoulos, Aristeidis Karras, Alexandra Theodoropoulou, Georgios Kampiotis

“…Systems for graph processing are a key enabler for insights from large-scale graphs that are critical to many new advanced technologies such as Artificial Intelligence, Internet of Things, and blockchain. …”
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Syndromes of hematophagocytosis in patients of pediatric intensive care units (literature review) by N. N. Abramova, K. E. Belozerov, G. V. Kondratiev, Yu. S. Aleksandrovich, M. M. Kostik

“…Nowadays, we have got a big group of drugs, which can pointwise block one or another pathogenesis pathway, but for a quick and correct choice, we need clear algorithms for deciding on the use of this group of targeted therapy. …”
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An Approach using Skeleton-based Representations and Neural Networks for Yoga Pose Recognition by Nguyen Hai Thanh, Truong Nguyen Nhat, Pham Linh Thuy Thi, Pham Ngoc Huynh

“…Experimental results show that the proposed algorithms are entirely suitable for the classification task when achieving good results on different metrics such as Precision, Recall, F1-score, and Accuracy.…”
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The role of sodium – glucose cotransporter-2 inhibitors in the treatment of different phenotypes of chronic heart failure by M. Yu. Kolesnyk, Ya. Yu. Maistrovych

“…Recently, there has been significant progress in the diagnosis of this phenotype of heart failure, many diagnostic scales and practice-oriented algorithms have been developed, but the issue of treatment of chronic heart failure remains open. …”
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CodonTransformer: a multispecies codon optimizer using context-aware neural networks by Adibvafa Fallahpour, Vincent Gureghian, Guillaume J. Filion, Ariel B. Lindner, Amir Pandi

“…Abstract Degeneracy in the genetic code allows many possible DNA sequences to encode the same protein. …”
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Big data and AI for gender equality in health: bias is a big challenge by Anagha Joshi, Anagha Joshi, Anagha Joshi

“…Despite these promises, machine learning applications are not widely adapted in clinical care due to many issues including ethical concerns, patient privacy, informed consent, algorithmic biases, data quality and availability, and education and training of health care professionals. …”
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Integrating Bayesian Knowledge Tracing and Human Plausible Reasoning in an Adaptive Augmented Reality System for Spatial Skill Development by Christos Papakostas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou

“…The use of advanced adaptive algorithms in Augmented Reality (AR) systems works to advance spatial skills with valuable relevance in many professional spheres by providing personalized feedback in an immersive environment. …”
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Edge-aware multisensor brain image fusion via guided filtering in Laplacian domain by Shweta Sharma, Shalli Rani, Ayush Dogra, Mohammed Wasim Bhatt

“…Abstract Medical image fusion is crucial in clinical diagnosis since it enhances diagnostic accuracy by integrating complementary data from many modalities, including Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET). …”
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Smart Buildings and Digital Twin to Monitoring the Efficiency and Wellness of Working Environments: A Case Study on IoT Integration and Data-Driven Management by Giuseppe Piras, Sofia Agostinelli, Francesco Muzi

“…Despite the increasing focus on these aspects, many workplaces currently do not fully meet the needs and expectations of employees, with negative consequences for their well-being and productivity. …”
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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…In this study, a hybrid technique is used by utilizing both pre-train models for feature extraction and classification using machine learning algorithms for the task of kidney disease image diagnosis. …”
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An embedded intelligence engine for driver drowsiness detection by Shirisha Vadlamudi, Ali Ahmadinia

“…Abstract Motor vehicle crashes involving drowsy driving are huge in number all over the world. Many studies revealed that 10%–30% of crashes are due to drowsy driving. …”
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η-ensemble path integral Monte Carlo approach to the free energy of the warm dense electron gas and the uniform electron liquid by Tobias Dornheim, Panagiotis Tolias, Zhandos A. Moldabekov, Jan Vorberger

“…Specifically, we present an in-depth study of the relevant algorithmic details such as the choice of the free weighting parameter and the choice of the optimum number of intermediate η-steps to connect the real, nonideal system (η=1) with the ideal limit (η=0). …”
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SurVIndel2: improving copy number variant calling from next-generation sequencing using hidden split reads by Ramesh Rajaby, Wing-Kin Sung

“…SurVindel2 builds on statistical techniques we previously developed, but also employs a novel type of evidence, hidden split reads, that can uncover many CNVs missed by existing algorithms. We use public benchmarks to show that SurVIndel2 outperforms other popular callers, both on human and non-human datasets. …”
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Compact embedded RF sawtooth waveform generator for particle accelerator applications by Ashish Sharma, Subrat Kar, Bhuban Kumar Sahu

“…This paper elaborates on the construction of this instrument, including the design and implementation of multiple feedback controls and complex signal processing algorithms to generate a stable sawtooth waveform. The entire design is space and resource-optimized to be hosted on a single system-on-chip field programmable gate array board, which helped reduce the development effort. …”
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Enhancing DDoS Attack Classification through SDN and Machine Learning: A Feature Ranking Analysis by Aymen AlAwadi, Kawthar Rasoul ALesawi

“…Due to their high accuracy and lower complexity, KNN and NB outperform ML algorithms in this study…”
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An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods by Muhammad Junaid Ibrahim, Jaweria Kainat, Hussain AlSalman, Syed Sajid Ullah, Suheer Al-Hadhrami, Saddam Hussain

“…Nowadays, some research approaches to recognize human activity from videos and images have been proposed using machine learning (ML) and soft computational algorithms. However, advanced computer vision methods are still considered promising development directions for developing human activity classification approach from a sequence of video frames. …”
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Implementation of automation tools for test analysis in the Radiotherapy Quality Assurance Programs by João Guilherme Rivera Santiago, Laura Furnari, Marcus Vinicius Saad de Paula Rodrigues, Victor Augusto Bertotti Ribeiro

“…The findings highlight the importance of conducting studies during the implementation phase of such tools to understand the algorithms used and establish appropriate usage and control measures for routine practice. …”
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Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence by Ali Hammoud, Alaa Iskandar, Béla Kovács

“…This paper proposes a hybrid approach that combines intelligent algorithms and modular design to solve a foraging problem within the context of swarm robotics. …”
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Smart Farming: AI and IoT-Based Solutions for Real-Time Agriculture Monitoring by Kadao Anjali Krushna, Shivaji Ghorpade Bipin

“…There is a network of IoT sensors that work in various environments from which data is collected regarding soil moisture, temperature, and humidity among many other parameters. These data streams are analyzed by advanced AI algorithms that generate actionable insights. …”
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