Monitoring of an Electromechanical Prototype Material for Environmental Parameters Using IoT by P. Bharat Siva Varma, Kothapalli Phani Varma, V. Anjani Kranthi, Anusha Rudraraju, Nalla Nandakishore

“…The article describes a computer prototype for monitoring and controlling the environmental parameters of a communication equipment room. …”
Get full text

On the Effects of Parameters on Galaxy Properties in CAMELS and the Predictability of Ωm by Gabriella Contardo, Roberto Trotta, Serafina Di Gioia, David W. Hogg, Francisco Villaescusa-Navarro

Get full text

ENHANCING NETWORK INTRUSION DETECTION USING MACHINE LEARNING AND META-MODELLING FOR IMPROVED CYBER SECURITY PERFORMANCE by Sunita, Pankaj Verma, Nitika, Jaspreet Kaur, Vijay Rana

“…Common parameters such as accuracy, precision, recall, and F1-score were computed on each model to allow for a comparative evaluation. …”
Get full text

PolSAR image classification using complex-valued multiscale attention vision transformer (CV-MsAtViT) by Mohammed Q. Alkhatib

“…The model also demonstrates efficient computational performance, minimizing the number of parameters while preserving high accuracy. …”
Get full text

Adaptive temporal compression for reduction of computational complexity in human behavior recognition by Haixin Huang, Yuyao Wang, Mingqi Cai, Ruipeng Wang, Feng Wen, Xiaojie Hu

“…With the advancement of deep learning algorithms and computer hardware, the conventional two-dimensional convolution technique for training video models has been replaced by three-dimensional convolution, which enables the extraction of spatio-temporal features. …”
Get full text

The algorithnt software program for cakulating the mechanical parameters of multilayer rod by Vytautas Kleiza, Rita Laurikietytė

“…The program is developed for training purposes, so the algorithm used is idealized and not sophisticated but preserving the main features of multilayer structural elements calculation. …”
Get full text

Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application by Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry Korzun

“…We propose to use these 11 features and their binary combinations as important biomarkers for ML sensors in the diagnosis of the disease, supporting edge computing on Arduino and cloud IoT service.…”
Get full text

Lightweight rice leaf spot segmentation model based on improved DeepLabv3+ by Jianian Li, Long Gao, Xiaocheng Wang, Jiaoli Fang, Zeyang Su, Yuecong Li, Shaomin Chen

“…Meanwhile, the PagFm-Ghostconv Feature Fusion (PGFF) module was proposed to significantly reduce the computational overhead of the model. …”
Get full text

Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images by Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka

Get full text

Quantitative analysis of gait parameters in Parkinson’s disease and the clinical significance by Wenchao Yin, Hong Gao, Beichen Liang, Ruichen Liu, Yue Liu, Chenxin Shen, Xiaohui Niu, Cui Wang

Get full text

Phenotypic and genetic characteristics of retinal vascular parameters and their association with diseases by Sofía Ortín Vela, Michael J. Beyeler, Olga Trofimova, Ilaria Iuliani, Jose D. Vargas Quiros, Victor A. de Vries, Ilenia Meloni, Adham Elwakil, Florence Hoogewoud, Bart Liefers, David Presby, Wishal D. Ramdas, Mattia Tomasoni, Reinier Schlingemann, Caroline C. W. Klaver, Sven Bergmann

Get full text

High-Resolution Computed Tomography of Single Breast Cancer Microcalcifications in Vivo by Kazumasa Inoue, Fangbing Liu, Jack Hoppin, Elaine P. Lunsford, Christian Lackas, Jacob Hesterman, Robert E. Lenkinski, Hirofumi Fujii, John V. Frangioni

“…Microcalcification is a hallmark of breast cancer and a key diagnostic feature for mammography. We recently described the first robust animal model of breast cancer microcalcification. …”
Get full text

Testing of Technical Indicators of Accumulators by Means of Complex Computer Model of EV by Fedotovs Jurijs, Bunina Inna, Zhiravetska Anastasia, Andrianova Svetlava

Get full text

A Space-Time Plume Algorithm to Represent and Compute Dynamic Places by Brent Dell, May Yuan

“…Point clustering analysis commonly assumes events occur in an empty space and therefore ignores geospatial features where events take place. This research introduces relational density, a novel concept redefining density as relative to the spatial structure of geospatial features rather than an absolute measure. …”
Get full text

Radiomics Signature of Aging Myocardium in Cardiac Photon-Counting Computed Tomography by Alexander Hertel, Mustafa Kuru, Johann S. Rink, Florian Haag, Abhinay Vellala, Theano Papavassiliu, Matthias F. Froelich, Stefan O. Schoenberg, Isabelle Ayx

“…<b>Conclusions</b>: Radiomics texture features of the left ventricular myocardium outperformed conventional parameters like EAT density and thickness in differentiating age groups, offering a potential imaging biomarker for myocardial aging. …”
Get full text

Spatial&#x2013;Spectral Hierarchical Multiscale Transformer-Based Masked Autoencoder for Hyperspectral Image Classification by Haipeng Liu, Zhen Ye, Wen-Shuai Hu, Zhan Cao, Wei Li

“…First, after the spatial&#x2013;spectral feature embedding with a spatial&#x2013;spectral feature extraction module, to solve the increased computational complexity caused by filling invisible patches in traditional masked autoencoder (MAE), the grouped window attention module is introduced to process only the visible patches of HSIs during spatial&#x2013;spectral reconstruction, avoiding unnecessary computations for masked ones. …”
Get full text

A Novel SHiP Vector Machine for Network Intrusion Detection by Sowmya T., E. A. Mary Anita

Get full text

Mathematical modelling with computational fractional order for the unfolding dynamics of the communicable diseases by Mati ur Rahman, Yeliz Karaca, Ravi P. Agarwal, Sergio Adriani David

“…Mathematical models based on computational fractional orders, employed for accurate modelling of complex dynamic systems, can ensure the implementation of various analytical, numerical and computing methods encompassing their applications to emerging and ever-varying real-world problems. …”
Get full text

Edge computing privacy protection method based on blockchain and federated learning by Chen FANG, Yuanbo GUO, Yifeng WANG, Yongjin HU, Jiali MA, Han ZHANG, Yangyang HU

“…Aiming at the needs of edge computing for data privacy, the correctness of calculation results and the auditability of data processing, a privacy protection method for edge computing based on blockchain and federated learning was proposed, which can realize collaborative training with multiple devices at the edge of the network without a trusted environment and special hardware facilities.The blockchain was used to endow the edge computing with features such as tamper-proof and resistance to single-point-of-failure attacks, and the gradient verification and incentive mechanism were incorporated into the consensus protocol to encourage more local devices to honestly contribute computing power and data to the federated learning.For the potential privacy leakage problems caused by sharing model parameters, an adaptive differential privacy mechanism was designed to protect parameter privacy while reducing the impact of noise on the model accuracy, and moments accountant was used to accurately track the privacy loss during the training process.Experimental results show that the proposed method can resist 30% of poisoning attacks, and can achieve privacy protection with high model accuracy, and is suitable for edge computing scenarios that require high level of security and accuracy.…”
Get full text

Data-driven discovery and parameter estimation of mathematical models in biological pattern formation. by Hidekazu Hishinuma, Hisako Takigawa-Imamura, Takashi Miura

Get full text