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467 articles for “Processing App”
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Synergic Effect of Motivation and Interest on Achievement of Undergraduate Students of Umar Suleiman College of Education, Gashua
Abstract: The dwindling performance of students at both internal and external examinations calls for concern among stakeholders in the education enterprise. Numerous studies have been conducted regarding the implications for educational pedagogies. However, redirection of effort towards behavioural management (classroom climate and internal control system) during interaction in the classroom is sin qua non to academic excellence in our schools. The need for educationists in the country to sit-up and think …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 37–43 Read article
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Nurse’s Responsibility and Liability in Chemotherapy Formulation: Legal and Ethical Considerations
Abstract: Each year, over 16 million new cancer cases are diagnosed globally. Cancer causes cells to grow uncontrollably, potentially leading to the formation of tumors, immune system damage, and other debilitating effects that can be fatal. Common cancer treatments include surgery to remove tumors, chemotherapy, radiation therapy, hormonal therapy, and immunotherapy. Among these, chemotherapy plays a significant role, accounting for nearly half of the overall treatment approach. Chemotherapy drugs can be …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 15–20 Read article
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Portable Power: Examining the Impact of Portable Chargers on Electric Vehicle Adoption
Abstract: Although switching to electrified mobility presents issues for the electricity system, it offers a viable way to address climate change. Even with significant improvements in electric vehicle (EV) technology, the process of charging puts stress on current network infrastructure. To address these issues, the use of charging management techniques is recommended in this paper. It also explores how EVs might be integrated into the smart grid, highlighting possible benefits, especially …
Published in International Journal of Advanced Control and System Engineering · Vol. 1, Issue 2, 2023 · pp. 22–28 Read article
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IoT Security: Issues, Best Practices, and Open Challenges
Abstract: The internet of things (IoT) provides the facility to connect different devices and communicate and share information over the internet. IoT has emerged as a transformative and pervasive technological paradigm, revolutionizing how we interact with our environment and infusing intelligence into everyday objects and devices. This interconnected ecosystem has unleashed a wave of innovative applications across diverse domains, including healthcare, transportation, agriculture, industrial automation, and smart cities. However, as the …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 7–13 Read article
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Power of Optical Sensors in Remote Sensing: A Study
Abstract: Imagine having eyes that could pierce the veil of the visible, discerning the subtle whispers of light beyond the spectrum our everyday vision allows. This isn't a superpower from science fiction, but the very essence of optical sensors in remote sensing – our planet's watchful, silent sentinels, meticulously translating the electromagnetic symphony into actionable insights. Optical sensors, operating within the visible, near-infrared, and short-wave infrared portions of the electromagnetic spectrum, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 29–36 Read article
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Secondary Metabolites in Drug Development: Tracing Their Historical and Therapeutic Impact
Abstract: Secondary metabolites, also known as natural products, exhibit a level of structural and chemical diversity unmatched by synthetic small molecule libraries. These compounds, which have evolved to possess drug-like properties, continue to be a primary source for new medications and drug leads. Their discovery has significantly impacted advancements in chemistry, biology, and medicine, influencing drug development and therapeutic strategies throughout history. Derived from primary metabolic pathways such as photosynthesis, glycolysis, …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 51–55 Read article
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Advancing UAV Video Transmission: A Full-Duplex System with RF and Signal Processing for Reliable, Long-Range HD Communication
Abstract: Unmanned aerial vehicles (UAVs) have transformed industries by enabling advanced aerial imaging and data collection. However, transmitting high-definition (HD) video from UAVs to ground stations poses challenges such as limited range, bandwidth constraints, and interference. This paper presents the development of an HD, full-duplex video transmission system using cutting-edge electronic technologies, including advanced radio frequency (RF) systems and signal processing. These electronic systems are designed to ensure fast, reliable, and …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 38–45 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Revolutionizing Motorcycle Safety: A Deep Learning Approach for Helmet and Triple Riding Detection using Computer Vision Technology and Machine Learning Model
Abstract: Introducing a revolutionary paradigm in road safety, our project unveils the Intelligent Traffic Surveillance System (ITSS), a groundbreaking initiative poised to transform urban traffic management. In an era where road safety is paramount, ITSS emerges as a beacon of innovation, harnessing the prowess of computer vision and machine learning to tackle two of the most pressing concerns plaguing our roads: helmet non-compliance and triple riding among motorcyclists. At its core, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 28–36 Read article
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Intergenerational Trauma and Cultural Resilience: Exploring the Impact of Family Norms on Mental Health Disclosure
Abstract: This comprehensive review examines how intergenerational trauma and cultural resilience influence individuals' choices to disclose or conceal their mental health challenges in family contexts. This paper utilizes 50 peer-reviewed studies out of 80 in total from various cultural contexts, this paper explores how family norms, especially in collectivist cultures, impact the disclosure of mental health issues. This review paper uses a thematic analysis strategy, systematically integrating qualitative, quantitative, and mixed-method …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 53–58 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Neuromarketing a New Tool for Marketing Research
Abstract: In recent years, a new marketing research tool called neuromarketing has emerged that uses brain research in a management context and has become popular in curricula and the world of practice. Neural Production caught the attention of publishers in early 2002 by making the publisher's job easier by simplifying the way and process of searching for ideas. This article examines the role of neuromarketing theory as a useful tool for …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 20–26 Read article
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Green Human Resource Management: Trends in Sustainable and Agile Human Resources Research in SMEs
Abstract: Small and medium-sized enterprises (SMEs) collectively have a significant environmental impact, despite each individual SME having a relatively small footprint. To mitigate this impact, the implementation of green human resource management practices is crucial for effective workforce management within SMEs. However, SMEs face challenges in executing these strategies and ensuring long-term business continuity. This study aims to establish a theoretical framework for a business model that can assist SMEs in …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 2, 2023 · pp. 9–33 Read article
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Data Representation and Abstraction in Computer Systems: An Interactive Study
Abstract: Data abstraction simplifies data, while data representation stores or encodes it. Data abstraction in programming involves constructing a data type that hides data representation. This lets consumers concentrate on the data’s primary features rather than its implementation. Data abstraction is common in object-oriented programming and database administration. Computers store data in binary format. The smallest binary unit is a bit, or “binary digit”. Bytes typically have eight bits. Data abstraction …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 22–31 Read article
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Design and Implementation of a Four-Port DC to DC Converter for a Hybrid Energy System
Abstract: A four-port DC-DC converter has been developed for integrating a hybrid energy from renewable sources system into an AC microgrid. This converter is particularly suitable for AC microgrid applications that require system-level power management. It boasts a straightforward design, making it effective for interfacing sources with varying voltage and current characteristics. The converter is created to connect a battery bank, a photovoltaic (PV) panel, a wind turbine, and an inverter, …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 47–60 Read article
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Advancements in Humanoid Robot Locomotion: A Review of Control Strategies and Kinematic Models
Abstract: Humanoid robot locomotion has significantly improved over the past few decades, driven by improvements in control strategies and kinematic models. Researchers aim to develop robots that can walk, run, and navigate complex terrains with efficiency and stability. This review explores recent developments in humanoid locomotion, highlighting control strategies such as model predictive control, reinforcement learning, and central pattern generators. Additionally, it examines kinematic models, including inverted pendulum models and zero …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Implementation and Impact of Lean Manufacturing: A Critical Review and Framework for Adoption
Abstract: Lean manufacturing has become a vital approach for organizations seeking to enhance efficiency, reduce waste, and strengthen competitiveness in dynamic industrial environments. Although lean principles are well established, industries continue to experience inconsistencies in implementation outcomes due to differences in organizational readiness, employee involvement, and managerial commitment. This study critically reviews existing research on lean manufacturing to examine its practical impact, the factors influencing its success, and the challenges that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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A Ponder & Sedulousness Of Legion Shale Stabilizing Materials In Aqueous Based Drilling Fluid During The Process Of Borehole Strengthening
Abstract: Drilling fluid used while drilling the layers of shale will have the potential of reacting with water which tends to increase stickiness, induce swelling and promote sloughing of the borehole. This results in the reduction of drilling fluid circulation, increased mud loss, increase in torque and drag, reduction in lubricity. This will ultimately result in the increase of Non-Productive Time (NPT) during drilling which in turn increases Capital Expenditure (CAPEX) …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 35–40 Read article
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A Dynamic Text Compression Model for Big Data Applications Using Hadoop
Abstract: In today’s data-driven era, efficiently handling vast amounts of information has become increasingly important. Data compression plays a vital role in this regard — it is essentially a method of encoding information in such a way that significantly reduces the number of bits required to store or transmit a file. By shrinking data to its most compact form, compression techniques help save storage space, reduce bandwidth consumption, and improve the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 Read article