This paper establishes an analytical kinematic model for a three-degree-of-freedom planar manipulator with three serial links, and validates it through MATLAB numerical simulations and SolidWorks-ADAMS co-simulation. Based on the mechanism topology and the Denavit-Hartenberg (D-H) parameter method,...

Urban parking inefficiency has become a critical challenge in modern cities, leading to increased traffic congestion, higher fuel consumption, and greater environmental impact. This paper proposes an intelligent smart parking management system that integrates hardware sensing, machine learning, and...

In today's technological landscape, recommender systems provide essential personalized suggestions by leveraging user preferences. This study evaluates the computational performance of User-Based (UBCF) and Model-Based Collaborative Filtering (MBCF) as intelligent computing systems on the MovieLens...

The growth of the Internet of Things (IoT) has connected a massive number of devices, but its common centralized design creates major security, privacy, and scalability problems that old security methods cannot properly fix. This review explores how Blockchain Technology (BCT) offers a new approach...

The integration of physical and chemical processes underpins life. Plant cells function as bioelectrical units, storing and converting energy through capacitive, inductive, and resistive properties. This study elucidates the electrophysiological and molecular mechanisms governing salt transport and...

Gaze estimation plays a vital role in human-computer interaction, driver monitoring, and psychological analysis. While state-of-the-art appearance-based methods achieve high accuracy using deep learning, they often demand substantial computational resources, including GPU acceleration and extensive...

Text-based CAPTCHAs remain a widely deployed mechanism to distinguish humans from automated bots. The Telerik RadCaptcha, a component of the ASP.NET AJAX suite, generates distorted alphanumeric images with character overlap, intersecting lines, and dynamic background noise. This study introduces a n...

Distributed Denial of Service attacks remain a critical threat to modern networked systems due to their scale, diversity and evolving attack strategies. Although machine learning and deep learning techniques have been widely explored for DDoS detection, many existing studies rely on inconsistent pre...

This paper presents the design and development of a Cardiovascular Patients’ Nutrition Assessment Web Application with a Hybrid Recommender System, developed for Malabon Hospital and Medical Clinic. The primary objective of the system is to support both patients and healthcare providers in monitorin...

Skin‑disease classification has evolved from simple image recognizers into software‑driven pipelines that demand reliability, reproducibility, and ethical governance. While most AI reviews focus on algorithmic accuracy, few examine these systems through a software‑engineering (SE) lens—essential for...