Search
454 articles for “Prediction”
-
AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization
Abstract: Intravenous (IV) infusion therapy is an essential component of modern healthcare, widely used for administering fluids, medications, and nutrients in clinical settings. However, traditional infusion monitoring methods rely heavily on manual observation by nursing staff, which increases the risk of human error, delayed interventions, and excessive workload. The integration of Artificial Intelligence (AI) into IV infusion systems has introduced a transformative approach to real-time monitoring, predictive analytics, and automated alert …
Published in International Journal of Nursing Critical Care · Vol. 12, Issue 1, 2026 · pp. 10–18 Read article
-
A Comprehensive Review of Transportation Network Design and Congestion Modeling: Methods, Challenges, and Emerging Trends
Abstract: Abstract As urbanization and travel demand continue to grow rapidly, traffic congestion has emerged as a widespread issue worldwide. The design of transportation networks and the modeling of congestion are essential disciplines that provide foundational tools for analyzing, predicting, and mitigating congestion impacts. This review complies key theories, modeling frameworks, optimization techniques, and algorithms used in network design and congestion modeling. We discuss static and dynamic models, equilibrium concepts, congestion …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
-
THE EFFECT OF STAND OFF DISTANCE AND BLAST YIELD OVER STRUCTURE IN BLAST TEST
Abstract: Abstract Explosive loads have garnered a lot of attention lately because of numerous unintentional and deliberate occurrences that have affected important structures all over the world. As a result, there has been a lot of research in this area over the last ten years. Although the majority of the early studies were empirical, more recent studies have progressed into thorough and organised studies that focus on understanding the behaviour of …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article
-
Advances and Emerging Trends in Classical and Modern Thermodynamics.
Abstract: Thermodynamics, as a foundational discipline of physical science, has continually evolved from its classical roots to modern, interdisciplinary applications. Classical thermodynamics established the laws governing energy, entropy, and equilibrium, providing the framework for analyzing heat engines, refrigeration cycles, and chemical processes. Recent advances have expanded these principles into new domains, integrating statistical mechanics, quantum theory, and non‑equilibrium systems. Emerging trends highlight the role of thermodynamics in nanoscale and quantum technologies, …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
-
AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
-
SYNTHETIC MEDICAL DATA GENERATIONUSING GAN MODEL
Abstract: The healthcare industry has witnessed growing interest in synthetic data generation, driven by increasing demands for large and diverse datasets. Real medical data is often inaccessible due to stringent privacy laws, data scarcity, and ethical considerations. Sophisticated models, such as Generative Adversarial Networks (GANs), have emerged as powerful tools to generate synthetic data that closely resembles real-world data. This approach is particularly effective for addressing the challenges of researching rare …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
-
Automated Pet Feeder
Abstract: Maintaining regular feeding regimens for pets can be a challenging task for many pet owners, especially in today’s fast-paced and demanding lifestyle. To address this issue, this project introduces a smart pet feeder powered by the ESP8266 NodeMCU, a Wi-Fi-enabled microcontroller that facilitates Internet of Things (IoT) applications. The system allows pet owners to remotely manage and automate feeding schedules, ensuring timely and accurate meal delivery even in their absence. …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
-
Building a Secure IoT Ecosystem with TRNGs and VHDL
Abstract: Internet of Things (IoT), which links billions of devices and produces enormous volumes of data, is growing quickly. Although this interconnection offers previously unheard-of potential, it also poses a serious security risk. Robust cryptographic solutions are necessary to protect sensitive IoT data from malevolent actors, and True Random Number Generator(TRNG) is a dependable source of randomness at the core of these solutions. Despite their efficiency, traditional pseudo- random number generators(PRNGs) …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
-
Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
-
AI-Optimized Reconfigurable Microstrip Bandpass Filters for DynamicSpectrum Access in 6G Networks
Abstract: The evolution toward sixth generation (6G) wireless networks introduces unprecedented demands on spectral efficiency, ultra-low latency, and real-time adaptability to dynamic radio environments. Central to this transformation is the requirement for intelligent, spectrum-agile radio front ends that can seamlessly operate across heterogeneous frequency bands. Dynamic Spectrum Access (DSA) addresses this challenge by enabling transceivers to autonomously detect, evaluate, and utilize the most suitable spectrum opportunities. The realization of DSA in …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 30–38 Read article
-
A Comprehensive Exploration of the Determinants Influencing Health-Related Quality of Life Among Patients Diagnosed with Coronary Artery Disease
Abstract: Background: Globally, coronary artery disease (CAD) is a major cause of illness and death. Health-related quality of life (HRQoL) is becoming increasingly acknowledged as a crucial component of patient care, even though clinical management has improved results. Objectives: To determine and assess the main factors – such as behavioural, psychological, clinical, and sociodemographic ones – that affect HRQoL in patients with CAD. Methods: Three tertiary hospitals’ worth of 300 CAD …
Published in International Journal of Cardiovascular Nursing · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
-
Respiratory Impairment in Stroke Patients With Bilateral Hemisphere Involvement – An Institutional Experience
Abstract: Background: Stroke is considered one of the major causes of impairments in activities of daily living. Respiratory dysfunction in stroke patients, especially those with bilateral hemisphere involvement, is often overlooked despite its critical role in recovery. This study focuses on the prevalence and impact of respiratory impairment in cerebrovascular accident (CVA) patients with bilateral hemispheric involvement. Objectives: The objective of this study was to determine the prevalence of respiratory impairment …
Published in International Journal of Neurological Nursing · Vol. 12, Issue 1, 2026 · pp. 12–18 Read article
-
Robust Power Supply Design and Parameter Monitoring of Electrostatic Precipitator
Abstract: This paper focuses on the development of a high-performance power supply system tailored for electrostatic precipitators (ESPs) to improve their efficiency in industrial applications. The proposed system converts alternating current (AC) to direct current (DC) using an AC to DC converter, followed by a boost converter to elevate the output voltage to the levels required for effective ESP operation. The boost converter ensures the output voltage remains stable, compensating for …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 11, Issue 2, 2025 · pp. 62–68 Read article
-
Smart Electricity Consumption Monitoring and Billing System
Abstract: Electricity consumption monitoring is essential for optimizing energy use and reducing costs. Traditional meters provide only cumulative readings, leading to inefficiencies and billing discrepancies. This research presents a smart electricity consumption monitoring and billing system that enables users to track real-time power usage and generate automated bills based on actual consumption. A hardware device measures voltage and current, calculates power consumption, and transmits data to a web-based platform via the …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 8–15 Read article
-
Bio-stimulation with Fresh Avocado Seed for Crude Oil Remediation: Experimental and Bio-kinetic Modelling
Abstract: The remediation of crude oil-contaminated soils requires sustainable and cost-effective solutions. This study investigates the performance of fresh avocado seed (Persea americana) as a biostimulant for the remediation of Bonny Light crude oil-contaminated soil from the Kalarugbana community, Niger Delta. A 56-day laboratory-scale experiment was conducted using bioreactors containing 1 kg of soil contaminated with 100 ml of crude oil and treated with different volumes of fresh avocado seed slurry …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 68–76 Read article
-
The New Era of Fusion and Solid-State Joining: A Review of Latest Welding Techniques and Applications
Abstract: Abstract This review examines the quickly changing field of solid-state joining and welding technologies, emphasizing new developments, practical uses, and future research avenues. Strategies that lower heat input, enhance joint integrity, and allow the connecting of sophisticated and dissimilar materials have gained importance within the last ten years. Solid-state techniques are particularly appealing for lightweight alloys used in the automotive and aerospace industries because they reduce melt-related defects and the …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 35–40 Read article
-
Processing–Structure–Property Relationships in Advanced Manufacturing of Functional Materials
Abstract: AbstractMechanical processing is very important in modern production since it changes raw materials into usable parts with exact sizes and qualities. This article looks at the basic methods of mechanical processing, such as cutting, shaping, grinding, milling, and joining. It also talks about how important these methods are for getting things done quickly, accurately, and with the least amount of material possible. Recent advancements, including computer numerical control (CNC) machining, …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 25–34 Read article
-
Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
-
Integration of CAD – CAM SYSTEM FOR NEXT – Generation smart manufacturing
Abstract: Abstract The emergence of Industry 4.0 has transformed traditional manufacturing by promoting automation, intelligence, and connectivity across production systems. Integrating Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) has become essential for achieving seamless data exchange, efficient product design, and precise manufacturing operations. This integration enables a unified digital workflow that connects design intent directly to machining processes, thereby reducing errors, improving productivity, and shortening product development cycles. Advanced technologies such …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
-
e-Kidney Filtration System (EKS) Using Sensor: A Study
Abstract: This research presents the design and preliminary validation of an E-Kidney Filtration System (EKS), an innovative artificial kidney leveraging advanced sensor technology for precise and adaptable blood filtration. Traditional hemodialysis, while life-sustaining, is a passive process with inherent limitations in its ability to dynamically respond to individual patient needs and fluctuations in physiological parameters. EKS aims to overcome these limitations by integrating a suite of real-time biosensors and electrochemical sensors …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 31–40 Read article