Detecting and Explaining Postpartum Depression in Real-Time with Generative Artificial Intelligence by Silvia García-Méndez, Francisco de Arriba-Pérez

“…Moreover, it addresses the black box problem since the predictions are described to the end users thanks to the combination of LLMS with interpretable ML models (i.e. tree-based algorithms) using feature importance and natural language. …”
Get full text

Control Method of Microgrid Grid Connected Inverter Based on Quantum GA-PID by Yunqing Qu

“…Therefore, a proportional integral derivative control method of the quantum genetic algorithm and particle swarm optimization has been proposed, which can achieve stable and efficient operation of microgrids.The total harmonic distortion of the improved controller was 1.03%, which was 1.98% lower than the traditional method and far below the national standard of 5%; The prediction accuracy wad on average 82%, 51%, and 54% higher than the other three classic algorithms; After the improvement of sag, the smoothness of microgrid switching had been increased, avoiding severe shaking. …”
Get full text

PRACTICE GUIDELINES FOR THE USE OF STANDARDS FOR DESIGN OF INTERACTIVE SYSTEMS IN TERMAL IMAGING PROCESSING TASKS by A. Y. Tsunikov

“…Practical recommendations are done to improve the reliability of the interpretation of the information provider, and thus improve the reliability of the situation prediction efficiency and APC information system as a whole.…”
Get full text

Ecological niche models as a tool for estimating the distribution of plant communities by Mayra Flores-Tolentino, Enrique Ortiz, José Luis Villaseñor

“…The model best supported by the observed data and balanced in the percentage of omission and commission errors was our model, and the model most like ours in terms of the predicted area, was the one proposed by INEGI (2003). …”
Get full text

Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…Improving the accuracy of computer vision algorithms plays a significant role in the tasks of medical image segmentation. …”

Detection of Alzheimer and mild cognitive impairment patients by Poincare and Entropy methods based on electroencephalography signals by Umut Aslan, Mehmet Feyzi Akşahin

“…Because there is no treatment for AD, early prediction of AD can be helpful to reducing the progression of this disease. …”
Get full text

GLOBAL TRENDS ON RESEARCH TOWARDS THE VALUATION PROCESS OF AN AGRICULTURE LAND by Silvia CHIOREAN, Iulia COROIAN, Tudor SĂLĂGEAN, Mircea Emil NAP, Jutka DEAK, Ioan LUPUȚ

“…The increased use of data analytics and machine learning algorithms enables better prediction of land values based on various factors such as soil quality, climate, and historical performance by processing large datasets. …”
Get full text

Diabetes Mellitus Detection System In Human Body Through Urine Media Using Naïve Bayes Method by Yuda Kasmien Adha, Tati Erlina

“…The system is made using the NaÏve Bayes algorithm to be able to classify urine that has been tested Benedict including into non-diabetes or diabetes, the system is also made using multiple linear regression algorithms to be able to predict the sugar content contained in urine. …”
Get full text

Influence of the media used in the operation of aircraft on the durability of airport cement surfaces by Piotr Nita, Małgorzata Linek

“…In terms of mass, dynamic and temperature interactions, these are measurable phenomena that can be determined and predicted using appropriate methods and algorithms. …”
Get full text

The constrained-disorder principle defines the functions of systems in nature by Yaron Ilan

“…The paper reviews variability-based CDP algorithms and CDP-based second-generation artificial intelligence systems and their potential for improving systems’ prediction and efficiency by using variability.…”
Get full text

Stellar ejection velocities from the binary supernova scenario: A comparison across population synthesis codes by Tom Wagg, David D. Hendriks, Mathieu Renzo, Katelyn Breivik

“…We present a comparison of the predicted ejection velocities of disrupted binary companions in three different population synthesis codes: COSMIC, COMPAS, and binary_c, which use two independent algorithms for the treatment of natal kicks. …”
Get full text

DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States by Parnian Ghaneei, Hamid Moradkhani

“…This study focuses on estimating baseflow using deep learning algorithms that enhance the estimation capabilities in both gauged and ungauged basins. …”
Get full text

Reinforcement Learning Applications in Cyber Security: A Review by Murat Gök, Emine Cengiz

“…Traditional computer algorithms may be insufficient against these attacks in the virtual world. …”
Get full text

Global decline in net primary production underestimated by climate models by Thomas J. Ryan-Keogh, Alessandro Tagliabue, Sandy J. Thomalla

“…Here we use contemporary remote sensing net primary production trends (1998–2023) from six remote sensing algorithms to discriminate amongst fifteen divergent model projections. …”
Get full text

Application of Improved WOA in Hammerstein Parameter Resolution Problems under Advanced Mathematical Theory by Lu Zhao, Jiangjun Liu, Yuan Li

“…In identifying Hammerstein model under heavy-tailed noise, the average prediction recognition accuracy of the improved whale algorithm was 92.38%, the determination coefficient was 0.89, the percentage fitting error was 0.03, and the system error was 0.02. …”
Get full text

Bistability and oscillations in the Huang-Ferrell model of MAPK signaling. by Liang Qiao, Robert B Nachbar, Ioannis G Kevrekidis, Stanislav Y Shvartsman

“…As a result, these models try to predict the dynamics of systems with tens or even hundreds of free parameters. …”
Get full text

Pharmacotherapeutic Options for Ophthalmic Conjunctivitis by A. D. van Eyk

“…There is however a challenge in distinguishing between the various types of conjunctivitis due to the similarity in the symptoms and due to a lack of tests and prediction algorithms, thus antibiotic therapy is often incorrectly initiated. …”
Get full text

Integrative multi-omics module network inference with Lemon-Tree. by Eric Bonnet, Laurence Calzone, Tom Michoel

“…Novel candidate driver genes predicted by Lemon-Tree were validated using tumor pathway and survival analyses. …”
Get full text

Target Tracking Using a Time-Varying Autoregressive Dynamic Model by Ralph J. Mcdougall, Simon J. Godsill

“…Target tracking algorithms commonly use structured dynamic models which require prior training of fixed model parameters. …”
Get full text

Behavioral discrimination and time-series phenotyping of birdsong performance. by Avishek Paul, Helen McLendon, Veronica Rally, Jon T Sakata, Sarah C Woolley

“…Moreover, the algorithm accurately predicted female performance on individual motif exemplars. …”
Get full text