Unsupervised Detection of Suspicious Tissue Using Data Modeling and PCA by Ikhlas Abdel-Qader, Lixin Shen, Christina Jacobs, Fadi Abu Amara, Sarah Pashaie-Rad

Get full text

Selección de Canales en Sistemas BCI basados en Potenciales P300 mediante Inteligencia de Enjambre by V. Martínez-Cagigal, R. Hornero

“…Results show that the five methods can achieve similar or even higher accuracies than that obtained without performing any channel selection procedure. Owing to the fact that all the applied methods are able to drastically reduce the required number of channels without compromising the system performance, as well as to overcome the common 8-channel set and the backward elimination algorithm, we conclude that all of them are suitable for use in the P300-BCI systems channel selection procedure. …”
Get full text

Fast full conformal prediction for multiple test points by Ilsang Ohn, Jisu Park

“…We propose an efficient algorithm that employs this fact, dramatically reducing the computational cost. …”
Get full text

Prediction of Anemia from Multi-Data Attribute Co-Existence by Talal Qadah, Asmaa Munshi

Get full text

Design and Research of the AI Badminton Model Based on the Deep Learning Neural Network by Yujue Chen, He Hu

Get full text

Inverse Modeling for Subsurface Flow Based on Deep Learning Surrogates and Active Learning Strategies by Nanzhe Wang, Haibin Chang, Dongxiao Zhang

“…However, a large amount of training data is usually needed to train the models, especially for constructing globally accurate surrogate models, which would bring large computational burden. In fact, the local accuracy of surrogate models in regions around the true solution of the inverse problem and the potential searching path of the solution is more important for the inversion processes. …”
Get full text

Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches by Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md. Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md. Mafiul Hasan Matin, M. Ameer Ali

“…The traditional expert-based classification of sleep stages, particularly through visual inspection, is challenging and prone to errors. This fact highlights the need for accurate machine learning algorithms (MLAs) for analyzing, monitoring, and diagnosing sleep disorders. …”
Get full text

Autoregressive integrated moving average model–based secure data aggregation for wireless sensor networks by Hongtao Song, Shanshan Sui, Qilong Han, Hui Zhang, Zaiqiang Yang

“…This fact calls for special requirements for network protocol design, security assessment models, and energy-efficient algorithms. …”
Get full text

Accurate bladder cancer diagnosis using ensemble deep leaning by Rana A. El-Atier, M. S. Saraya, Ahmed I. Saleh, Asmaa H. Rabie

Get full text

A comprehensive survey of deep face verification systems adversarial attacks and defense strategies by Sohair Kilany, Ahmed Mahfouz

Get full text

Efficient Model Calibration Using Submodels by P. T. M. Vermeulen, G. M. C. M. Janssen, T. Kroon

“…As runtimes increase almost quadratically with the number of model cells, this makes the models ever more computationally demanding. This high computational demand introduces challenges for the history‐matching (calibration) process as this is an algorithmic process that needs hundreds or thousands of model‐runs to obtain the model sensitivities needed to estimate parameters. …”
Get full text

Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning by Yusuf Alaca

Get full text

DETECTION OF FAULT LOCATION ON THE POWER LINES 6–35 kV WITH UNILATERAL FEED by F. A. Romaniuk, M. A. Shevaldin

“…Estimated parameters of the algorithm of detecting the fault location based on identified influencing factors were established by method of computational experiment. …”
Get full text

A New Method for Indoor Visible Light Imaging and Positioning Based on Single Light Source by Xinxin Cheng, Xizheng Ke, Huanhuan Qin

“…However, the actual application of VLP is limited by the fact that most positioning requires at least two or more LEDs. …”
Get full text

An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Thresholding by Mohammed Abo-Zahhad, Sabah M. Ahmed, Ahmed Zakaria

“…Firstly, the original ECG signal is preprocessed by detecting QRS complex, then the difference between the preprocessed ECG signal and the estimated QRS-complex waveform is estimated. 2D approaches utilize the fact that ECG signals generally show redundancy between adjacent beats and between adjacent samples. …”
Get full text

TabMoE: A General Framework for Diverse Table-Based Reasoning with Mixture-of-Experts by Jie Wu, Mengshu Hou

“…We conduct empirical experiments across three typical tasks related to tabular data: table-based question answering, table-based fact verification, and table-to-text generation. …”
Get full text

A Hybrid Key Generator Model Based on Multiscale Prime Sieve and Quantum-Inspired Approaches by Gerardo Iovane, Elmo Benedetto

“…The integration is structured through the JDL. In fact, a specific information fusion model is used to improve security. …”
Get full text

Big data and AI for gender equality in health: bias is a big challenge by Anagha Joshi, Anagha Joshi, Anagha Joshi

Get full text

Control over biopower in cognitive and surveillance capitalism by Stanković-Pejnović Vesna

“…Through cognitive conflict and sharp power strategies, we are witnessing an epochal change, an IT revolution that brings political conflict into a digital dimension, which acts on the ground of public opinion, politics and economics, control and conditioning of knowledge, of our world view and of facts. Zuboff introduces the concept of surveillance-based capitalism implemented via sophisticated algorithms of BigTech companies (Google, Apple, Amazon, Meta, and others). …”
Get full text

Localization of Mobile Sensors and Actuators for Intervention in Low-Visibility Conditions: The ZigBee Fingerprinting Approach by Jose V. Marti, Jorge Sales, Raul Marin, Ernesto Jimenez-Ruiz

Get full text