Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation by Ryan Allen Shewcraft, John Schwarz, Mariann Micsinai Balan

Get full text

Spatiotemporal Patterns of Drought Migration Across the Contiguous United States by Amitesh Sabut, Ashok Mishra, Dara Entekhabi

Get full text

Potential Metabolic Markers in the Tongue Coating of Chronic Gastritis Patients for Distinguishing Between Cold Dampness Pattern and Damp Heat Pattern in Traditional Chinese Medici... by Yuan S, Zhang R, Zhu Z, Zhou X, Zhang H, Li X, Hao Y

Get full text

Automatic detection of sleep spindles by neural networks algorithms by Jan Rychlík, Roman Mouček

“…Consequently, comprehending and accurately analyzing sleep patterns is of paramount importance. This research aims to introduce, formulate, execute, and assess diverse machine/deep learning methodologies tailored for the processing of EEG signals geared explicitly towards identifying sleep spindles. …”
Get full text

A Review of Link Prediction Algorithms in Dynamic Networks by Mengdi Sun, Minghu Tang

“…Link prediction aids people in exploring and analyzing complex change patterns in the real world and it could be applied in personalized recommendation systems, intelligence analysis, anomaly detection, and other fields. …”
Get full text

USING REINFORCEMENT LEARNING ALGORITHMS FOR UAV FLIGHT OPTIMIZATION by O. Dutsiak, V. Yuzevych

“…Unmanned aerial vehicles (UAVs) have become a compelling research topic, offering potential for both civilian and military applications such as inspection, delivery, reconnaissance, and surveillance. …”
Get full text

Optimization of Neighborhood Public Space Design Based on Physical Environment Simulation and Crowd Simulation—A Case Study of Xiaomi’s Changping Campus by Ziyun Ye, Xiaoyu Cao, Xiong Gao, Kun Wang

“…This paper selects the Xiaomi Beijing Changping II design project, simulates and deduces the physical environment of its location, simulates the results of the natural environment by using the data of sunshine, wind, and water catchment in the physical environment, and then simulates the crowd’s action paths by combining kinetic algorithms and ant algorithms to optimise the design methods, processes, and results of the neighbourhood public space on the basis of this research. …”
Get full text

Extraction and Recognition of Color Feature in true Color Images Using Neural Network Based on Colored Histogram Technique by Orjuwan Aljawadi

“…In this research, a neural network using backpropagation (BPNN) algorithm was trained and learned to work as the cone cells in human eyes to recognize the three fundamental cells’ colors and hues, as the neural network showed good results in training and testing the color feature  it was trained and learned again to recognize two nature scenes images ; Red sunset and Blue sky images where both scenes images contain color interaction and different hues such as red-orange and blue-violet. …”
Get full text

Bridging the Gap: An Algorithmic Framework for Vehicular Crowdsensing by Luis G. Jaimes, Craig White, Paniz Abedin

“…We evaluate the applicability of successful participatory sensing approaches designed for pedestrian data and demonstrate their limitations when applied to VCS. This research provides insights into adapting greedy algorithms for the particular dynamics of vehicular crowdsensing.…”
Get full text

Dynamic Pattern Matching on Encrypted Data With Forward and Backward Security by Xiaolu Chu, Ke Cheng, Anxiao Song, Jiaxuan Fu

“…Due to the privacy security issues of data and patterns, researchers begin to explore pattern matching on encrypted data. …”
Get full text

Seasonal habitat suitability and distribution patterns of Mediterranean fin whales by E. Papale, A. Arcangeli, A. Azzellino, M. Bellingeri, G. Bergamini, G. Buscaino, G. Calogero, A. Cañadas, L. David, R. De Stephanis, N. Di-Méglio, C. Lanfredi, C. Giacoma, G. Gnone, B. Mussi, D.S. Pace, L. Pintore, L. Pireddu, J.M. Salazar-Sierra, P. Tepsich, B. Violi, A. Giovannini

Get full text

An explainable EEG epilepsy detection model using friend pattern by Turker Tuncer, Sengul Dogan

“…In this research, we have presented a new-generation EEG signal classification model, and this model is an explainable feature engineering (XFE) model. …”
Get full text

Weighted Content Similarity Feature for Software Architecture Anti-Patterns Prediction by Somayeh Kalhor, Mohammad Reza Keyvanpour

Get full text

Spatiotemporal data modeling and prediction algorithms in intelligent management systems by Xin Cao, Chunxiao Mei, Zhiyong Song, Hao Li, Jingtao Chang, Zhihao Feng

“…In order to solve the problem of difficulty in learning semantic pattern representations between user dynamic interest sequences using path based and knowledge graph based entity embedding methods, the author proposes research on spatiotemporal data modeling and prediction algorithms in intelligent management systems. …”
Get full text

Detection of Plants Leaf Diseases using Swarm Optimization Algorithms by Saud Abdul Razzaq, Baydaa Khaleel

“…Artificial intelligence techniques are characterized by their great ability to classify objects and classify images. In this research, some artificial intelligence algorithms, represented by swarm optimization algorithms, were used to detect and classify plant diseases to healthy and unhealthy through images of different leaves of plants. …”
Get full text

Dynamic Route Guidance in Vehicle Networks by Simulating Future Traffic Patterns by David Neiman, Zachary Rubinstein, Stephen Smith

Get full text

FORMAL MODELS AND ALGORITHMS IN POLITICAL SCIENCE: GAME-THEORETIC APPROACH by A. A. Vartumyan, I. S. Klimenko

Get full text

Classification of Internet banking customers using data mining algorithms by Reza Radfar, Navid Nezafati, Saeid Yousefi Asli

“…This is a practical, documentary-based research. Mining customer rules enables managers to make policies based on found out patterns in order to have a better perception of what customers really desire.…”
Get full text

Analyzing greedy vaccine allocation algorithms for metapopulation disease models. by Jeffrey Keithley, Akash Choudhuri, Bijaya Adhikari, Sriram V Pemmaraju

“…The allocation of vaccines can be modeled as a discrete optimization problem that prior research has shown to be computationally difficult (i.e., NP-hard) to solve even approximately. …”
Get full text

A Machine Learning Framework for Classroom EEG Recording Classification: Unveiling Learning-Style Patterns by Rajamanickam Yuvaraj, Shivam Chadha, A. Amalin Prince, M. Murugappan, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury

Get full text