Breeding of Solanaceous Crops Using AI: Machine Learning and Deep Learning Approaches—A Critical Review by Maria Gerakari, Anastasios Katsileros, Konstantina Kleftogianni, Eleni Tani, Penelope J. Bebeli, Vasileios Papasotiropoulos

“…AI has emerged as a powerful solution to overcome the limitations of traditional breeding techniques, which often involve time-consuming, resource-intensive processes with limited predictive accuracy. …”
Get full text

Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…Meanwhile, in contemporary economics, topology is being used for high-dimension reduction, complex network construction, and structural data mining, combined with techniques of machine learning, and applied to high-dimensional time series and structure analysis in financial markets. …”
Get full text

Secure and Lightweight Cipher for Resource-constrained IoT Healthcare Applications using Snake Key Generation by Saja Kareem Ismael, Mohamed Ibrahim Shujaa, Ahmed Bahaaulddin A. Alwahhab

“…This study aims to provide a comprehensive and comparative analysis to support the continued evolution of secure, efficient and scalable cryptographic solutions within IoT healthcare, demonstrating the importance of selecting the most effective key generation technique to address the unique security challenges of this new field. …”
Get full text

A MACHINE LEARNING FRAMEWORK FOR SUICIDAL THOUGHTS PREDICTION USING LOGISTIC REGRESSION AND SMOTE ALGORITHM by Sarni Maniar Berliana, Omas Bulan Samosir, Rafidah Abd Karim, Victoria Pena Valenzuela, Krismanti Tri Wahyuni, Andi Alfian

“…Future research should include more predictors, diverse populations, and longitudinal data to better understand causal relationships and timing. …”
Get full text

Determining Climate Extremes of Mosul Weather Using Robust Noise Clustering Strategy. by Marwan AL-Hyali, Bashar AL-Talib

“…The paper aims to analyse the climatic data of the city of Mosul during the summer season from 2013 to 2022, focusing on the maximum temperature variable. …”
Get full text

Public Support for Emigration Post-EU Accession: An LM Model Analysis by Ewa Genge

“…Aim: Since 2004 European countries, such as Germany and the United Kingdom, have noted an unusual upward trend of migrants from Central and Eastern Europe. …”
Get full text

A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

“…It identified that the selection and application of the algorithms rely on the study objective and the data patterns. Regarding the performance metrics applied, accuracy and recall were the most employed. …”
Get full text

A framework for scalable ambient air pollution concentration estimation by Liam J. Berrisford, Lucy S. Neal, Helen J. Buttery, Benjamin R. Evans, Ronaldo Menezes

“…Addressing air pollution requires reliable data on pollutant concentrations, which form the foundation for interventions aimed at improving air quality. …”
Get full text

Práticas populares em saúde: autocuidado com feridas de usuários de plantas medicinais [Popular practices in health: self-care to wounds of users of medicinal plants] by Rudval Souza da Silva, Laíse Souza Lima Matos, Ednaldo Ednaldo Cavalcante de Araújo, Gilvânia Patrícia do Nascimento Paixão, Laura Emmanuela Lima Costa, Álvaro Pereira

Get full text

The contribution of residential situations to mental health during COVID-19: A longitudinal survey by Pablo García de Paredes, Sergio Cortez Ghio, Marie Baron, Annie LeBlanc, Carole Després

“…We employed data mining techniques and ordinal logistic regression models on a sample of 781 participants from a longitudinal survey conducted in Québec, Canada, between April 2020 and May 2021. …”
Get full text

Diagnostic performance of ultrasound S-Detect technology in evaluating BI-RADS-4 breast nodules ≤ 20 mm and > 20 mm by Boyuan Xing, Chen Gu, Chenghui Fu, Bingyi Zhang, Yandi Tan

“…Abstract Background This study aimed to explore the diagnostic performance of ultrasound S-Detect in differentiating Breast Imaging-Reporting and Data System (BI-RADS) 4 breast nodules ≤ 20 mm and > 20 mm. …”
Get full text

Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea by Congshuang Xie, Siqi Zhang, Zhenhua Zhang, Peng Chen, Delu Pan

“…Satellite-derived bathymetry (SDB) has emerged as a critical technique in response to the growing demand for large-scale coastal bathymetric mapping. …”
Get full text

Improving Access Trust in Healthcare Through Multimodal Deep Learning for Affective Computing by I. Sakthidevi, G. Fathima

Get full text

Instance-Level Weighted Contrast Learning for Text Classification by Xinhui Liu, Jifa Chen, Qiubo Huang

“…However, existing contrastive learning methods have notable shortcomings, primarily concerning insufficient data utilization. This study focuses on data enhancement techniques to expand the text data through symbol insertion, affirmative auxiliary verbs, double negation, and punctuation repetition, aiming to improve the generalization and robustness of the pre-trained model. …”
Get full text

The Influence of Ownership Structure on the Financial Performance of Banks by Sigit Pamungkas, Muchtar Hidayat, Muhammad Syarif, Farah Margaretha Leon, Henny S. Lestari

“…The method used is panel data regression, employing a purposive sampling technique on 43 banks listed on the Indonesia Stock Exchange during the 2019-2023 period. …”
Get full text

Dead Sea Stromatolite Reefs: Testing Ground for Remote Sensing Automated Detection of Life Forms and Their Traces in Harsh Environments by Nuphar Gedulter, Amotz Agnon, Noam Levin

“…This study establishes the grounds for the automated detection of a fossilized livable environment in a carbonatic terrain based on its hyperspectral reflectance data. The results have significant implications for future mapping efforts and emphasize the feasibility of automated mapping, extending the data acquisition to airborne or satellite-based hyperspectral remote sensing technologies to detect life forms in extreme environments.…”
Get full text

Detection of single and dual pulmonary diseases using an optimized vision transformer by Almughamisi Naif, Abosamra Gibrael, Albar Adnan, Saleh Mostafa

Get full text

A Review of Research on SLAM Technology Based on the Fusion of LiDAR and Vision by Peng Chen, Xinyu Zhao, Lina Zeng, Luxinyu Liu, Shengjie Liu, Li Sun, Zaijin Li, Hao Chen, Guojun Liu, Zhongliang Qiao, Yi Qu, Dongxin Xu, Lianhe Li, Lin Li

“…Specific solutions for current problems (complexity of data fusion, computational burden and real-time performance, multi-scenario data processing, etc.) are examined by categorizing and summarizing the body of the extant literature and, at the same time, discussing the trends and limitations of the current research by categorizing and summarizing the existing literature, as well as looks forward to the future research directions, including multi-sensor fusion, optimization of algorithms, improvement of real-time performance, and expansion of application scenarios. …”
Get full text

Identifying Psychosocial, Self-Management, and Health Profiles Among Women With Chronic Pain Who Have Experienced Intimate Partner Violence and Those Who Have Not: Protocol for a 2... by Ainara Nardi-Rodríguez, Sónia Bernardes, María Ángeles Pastor-Mira, Sofía López-Roig, Lidia Pamies-Aubalat, Andrés Sánchez-Prada, Victoria A Ferrer-Pérez, Ignacio Rodríguez-Rodríguez, Purificación Heras-González

Get full text

Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Ac... by Sandrine Müller, Susanne Diekmann, Markus Wenzel, Horst Karl Hahn, Johannes Tuennerhoff, Ulrike Ernemann, Florian Hennersdorf, Max Westphal, Sven Poli

“…Identifying such gaps would augment CPGs but is challenging when using traditional methods. ObjectiveThis study aims to leverage real-world data coupled with machine learning (ML) techniques to systematically identify and quantify gaps in German thrombolysis-in-stroke guidelines. …”
Get full text