Pongkit Ekvitayavetchanukul

Integrating UAV Imagery and Deep Learning Models for Automated Crop Health Monitoring and Analysis

Anugrah Srivastava, Jagendra Singh, Monika Dandotiya, Pongkit Ekvitayavetchanukul et autres

in, th (code pays fourni par la source)

Predicting Optimal Irrigation Strategies Using Advanced Neural Networks and IoT-Enabled Data for Precision Agriculture

Jagendra Singh, Prateek Gupta, Monika Dandotiya, Pongkit Ekvitayavetchanukul et autres

in, th (code pays fourni par la source)

A Novel Deep Learning Framework for Accurate Detection of Alzheimer’s Disease Leveraging Advanced Neuroimaging Data Analysis

Bhupendera Kumar, Jagendra Singh, Monika Dandotiya, Pongkit Ekvitayavetchanukul et autres

Associations of Habitual Garlic Consumption with Perceived Health and Quality of Life among Thai Participants

Natchon Ariyaratthanachok, Jenita Yupensuk, Punyapat Kaewcharoensri, Pongkit Ekvitayavetchanukul

Background: Garlic (Allium sativum L.) is widely used in Thai cooking and has a long history as a traditional health-promoting food. Most previous studies have focused on garlic supplements or specific clinical outcomes. Less is known about how regular garlic consumption relates …

th (code pays fourni par la source)

Deep Learning-Powered Diagnostic Model for Early Detection and Prognosis of Bone Diseases Using Radiographic Imaging

Jagendra Singh, Vivek Kumar, Monika Dandotiya, Pongkit Ekvitayavetchanukul et autres

in, th (code pays fourni par la source)

Deep Learning Approaches for Optimizing Renewable Energy Generation and Consumption Forecasting in Smart Grids

Mala Saraswat, Jagendra Singh, Monika Dandotiya, Pongkit Ekvitayavetchanukul et autres

in, th (code pays fourni par la source)

Deep Learning-Based Solar Tracking System for Maximizing Solar Power Generation Efficiency

Jagendra Singh, Hardeo Kumar Thakur, Monika Dandotiya, Pongkit Ekvitayavetchanukul et autres

in, th (code pays fourni par la source)

Blue Carbon Learning Center Design Along the Chao Phraya River: A Case Study of Wetland Zones in Nonthaburi Province

Kwanpracha Suksai, Siriwat Thitipobromyen, Chotanan Bunkham, Nannapat Pattanapuapa et autres

This research presents a design framework for a Blue Carbon Learning Center situated in the peri-urban context of Nonthaburi Province, Thailand. The area, located along the Chao Phraya River, holds strong potential for the development of ecological learning hubs within riparian wetlands …

us, th (code pays fourni par la source)

Predictive Modeling of Earthquake Magnitude and Occurrence in Thailand Using Time Series and Geospatial Data

Ratchanon Kraikittiwut, Kantapat Songkram, Kasotat Sukdee, Suwarot Nakpapan et autres

This study explores the temporal and spatial dynamics of earthquake activity in Thailand using observational data recorded between 2020 and 2025. We analyzed over 100 seismic events to investigate magnitude patterns, recurrence intervals, and regional clustering. Using a combination of statistical and …

th (code pays fourni par la source)

Modeling the Health Burden of PM2.5: Forecasting Hospital Admissions and Medical Demand in Bangkok and Neighboring Regions

Phichphanita Mathasuriyapong, Nitcha Korchalermsonthi, Patraporn Ekvitayavetchanukul, Pongkit Ekvitayavetchanukul

Air pollution has emerged as a defining public health challenge of the 21st century, with fine particulate matter (PM2.5) recognized as a major contributor to respiratory and cardiovascular morbidity and mortality. Due to its ultrafine size (<2.5 µm), PM2.5 penetrates deeply into …

th, us, in (code pays fourni par la source)

Artificial intelligence and machine learning: Shaping the future of computing with significant real-world potential

Vidushi Singh, K. Sinduja, Veer Bhadra Pratap Singh, Bakshish Singh et autres

This paper aims to investigate the transformative role of artificial intelligence (AI) and machine learning (ML) in the context of the future of computing and explore real-world applications affecting various industries. By examining the technologies of AI and ML, their key concepts, …

The Impact of Design Thinking vs Rote Learning on Secondary Student Achievement: An Experimental Study in Bangkok Schools

Pongkit Ekvitayavetchanukul, Tanai Sutabutra, Phawat Rujachan, Kasame Manasakorn et autres

This study investigates the comparative effectiveness of design thinking versus traditional rote learning approaches among secondary school students in Bangkok, Thailand. Through an experimental research design involving 250 students from grades 10-12, the study examines learning outcomes, engagement levels, and student perceptions …

th, it (code pays fourni par la source)