A Lightweight Human Activity Recognition Method for Ultra-wideband Radar Based on Spatiotemporal Features of Point Clouds by Yongkun SONG, Tianxing YAN, Ke ZHANG, Xian LIU, Yongpeng DAI, Tian JIN

“…To address the issues of high computational complexity and extensive network parameters in existing action recognition algorithms, this study proposes an efficient and lightweight human activity recognition method using UWB radar based on spatiotemporal point clouds. …”
Get full text

A Denoising Based Autoassociative Model for Robust Sensor Monitoring in Nuclear Power Plants by Ahmad Shaheryar, Xu-Cheng Yin, Hong-Wei Hao, Hazrat Ali, Khalid Iqbal

“…Apart from these regularization heuristics, traditional error gradient based supervised learning algorithms for multilayered AANN models are highly susceptible of being trapped in local optimum. …”
Get full text

Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis by Zhi-xiang Zhang, Yi-lin Cao, Chao Chen, Lin-yuan Wen, Yi-ding Ma, Bo-zhou Wang, Ying-zhe Liu

“…The modeling was performed based on a dataset consisting of 885 various compounds using linear and nonlinear algorithms. The tree-based models established demonstrated acceptable predictive abilities, yielding a low mean absolute error (MAE) of 31°C. …”
Get full text

Solving the fully fuzzy multi-choice linear programming model by Zahra Arami, Maryam Arabameri, Hassan Mishmast Nehi

“…In general, the resulting algorithms are simple and very inexpensive to implement, and they are more efficient than those of previous studies.Originality/Value: In this article, all parameters and coefficients of the problem are triangular fuzzy numbers, and the right side of the problem's constraints are the fuzzy multi-choice parameters. …”
Get full text

Application of edge computing technology in smart grid data security by Zhuo Cheng, Jiangxin Li, Jianjun Zhang, Chen Wang, Hui Wang, Juyin Wu

“…The experimental results indicate that: The total running time required for executing proxy authorization and verification, proxy key generation, signature and decryption algorithms in this scheme is 5.617 ms, with a ciphertext length of 80 Bytes. …”
Get full text

Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins by Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, Carlos M. Ardila

“…Hub proteins were identified using Cytoscape and Cytohubba, and machine learning algorithms including naïve Bayes, neural networks, gradient boosting, and random forest were used to predict hub genes. …”
Get full text

Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial Intelligence Pipeline by Zhengxiao Yang, Hao Zhou, Sudesh Srivastav, Jeffrey G. Shaffer, Kuukua E. Abraham, Samuel M. Naandam, Samuel Kakraba

“…We developed a customized AI pipeline that incorporates twelve machine learning algorithms along with the four aggregation methods to detect Parkinson’s disease (PD) using multiple voice recordings from individuals available in the UCI Machine Learning Repository, which includes 756 voice recordings from 188 PD patients and 64 healthy individuals. …”
Get full text

Bearing Response Prediction in Hydrothermal Aged Carbon Fiber Reinforced Epoxy Composite Joints Using Machine Learning Techniques by Mohit Kumar, Govind Vashishtha, Babita Dhiman, Sumika Chauhan

“…In this research, an innovative support vector regression approach is present that leverages machine learning algorithms to forecast the bearing response of CFREC joints after undergoing hydrothermal aging. …”
Get full text

Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

“…Finally, model compression through filter pruning, driven by evolutionary algorithms, trims redundant parameters to improve computational efficiency while preserving model accuracy. …”
Get full text

An Overview of Computational Models for Industrial Internet of Things to Enhance Usability by Zhen Ying, Iftikhar Ahmad, Saima Mateen, Asad Zia, Ambreen, Shah Nazir, Neelam Mukhtar

“…The study will facilitate research community and practitioners to develop novel techniques, algorithms, and tools to automate and facilitate IIoT. …”
Get full text

Evolving concepts in intracranial pressure monitoring - from traditional monitoring to precision medicine by Rohan Mathur, Lin Cheng, Josiah Lim, Tej D. Azad, Peter Dziedzic, Eleanor Belkin, Ivanna Joseph, Bhagyashri Bhende, Sudha Yellapantula, Niteesh Potu, Austen Lefebvre, Vishank Shah, Susanne Muehlschlegel, Julian Bosel, Tamas Budavari, Jose I. Suarez

“…This paper provides historical and physiological context to the problem of elevated ICP, provides an overview of the challenges of the current paradigm of ICP management strategies, and discusses advances in ICP waveform analysis, emerging non-invasive ICP monitoring techniques, and applications of machine learning to create predictive algorithms.…”
Get full text

The Convergence of AI and animal-inspired robots for ecological conservation by Naqash Afzal, Mobeen ur Rehman, Lakmal Seneviratne, Irfan Hussain

“…Furthermore, this approach provides a novel means to study species that are difficult to observe directly, due to their elusive nature or the inaccessibility of their habitats.The collaborative interaction between AI and animal robots opens up avenues for the development of responsive and adaptable conservation strategies. AI algorithms deployed on interactive animal robots can continuously analyze real-time data from the field, allowing for dynamic adjustments in conservation approaches based on emerging patterns and threats. …”
Get full text

Higher performance enhancement of direct torque control by using Space Vector Modulation for doubly fed induction machine by Gouaamar Radouan, El Fadl Adiba, Bri Seddik, Mekrini Zineb

“…All proposed control algorithms have been subjected to rigorous tests and simulations using a MATLAB/Simulink environment. …”
Get full text

Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma by Yi Li, Xinyi Hong, Wenqian Xu, Jinhong Guo, Yongyuan Su, Haolan Li, Yingjie Xie, Xing Chen, Xiong Zheng, Sufang Qiu

“…Differentially expressed genes (DEGs) were identified between radiotherapy-sensitive and resistant samples. Machine learning algorithms and Cox regression were used to construct a prognostic risk model, validated in the GSE102349 dataset. …”
Get full text

Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities by Muhammad Alam, Davide Moroni, Gabriele Pieri, Marco Tampucci, Miguel Gomes, José Fonseca, Joaquim Ferreira

“…The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials.…”
Get full text

Robust Next-Day Scheduling of PV Generation Sources Supplying a Standalone DC Microgrid via a Semi-Definite Programming Model by Walter Gil-Gonzalez, Oscar Danilo Montoya, Luis F. Grisales-Norena, Fabio Andrade

“…Evaluating a 27-bus standalone DC microgrid, the SDP model outperforms random-based algorithms by achieving global optima in both objectives. …”
Get full text

Use of machine learning in osteoarthritis research: a systematic literature review by Francis Berenbaum, Jérémie Sellam, David Klatzmann, Atul J Butte, Karine Louati, Encarnita Mariotti-Ferrandiz, Marie Binvignat, Valentina Pedoia

“…For each selected article, the number of patients, ML algorithms used, type of data analysed, validation methods and data availability were collected.Results From 1148 screened articles, 46 were selected and analysed; most were published after 2017. …”
Get full text

Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

“…Classification is performed using various algorithms, evaluated on sensitivity, accuracy, precision, and similarity metrics. …”
Get full text

Selection of suitable reference genes for gene expression studies in HMC3 cell line by quantitative real-time RT-PCR by Martina Fazzina, Matteo Bergonzoni, Francesca Massenzio, Barbara Monti, Flavia Frabetti, Raffaella Casadei

“…The comparative ∆CT method, BestKeeper, Normfinder, geNorm and RefFinder algorithms were used to assess the stability of the candidate genes. …”
Get full text

The Role of Immersive Experience in Anxiety Reduction: Evidence from Virtual Reality Sessions by Dominika Wilczyńska, Tamara Walczak-Kozłowska, David Alarcón, María José Arenilla, Jose Carlos Jaenes, Marcelina Hejła, Mariusz Lipowski, Joanna Nestorowicz, Henryk Olszewski

“…Both groups used goggles for virtual space navigation, with the experimental group employing a multijoint arm mounted on an aluminum frame and special algorithms to navigate without controllers. We assessed immersion in VR using the Polish adaptation of the Immersion Questionnaire and anxiety using the Polish adaptations of the State–Trait Anxiety Inventory (STAI-X1) and its early adolescent version, the State–Trait Anxiety Inventory–Children (STAI-C1). …”
Get full text