Search
1915 articles for “process development”
-
The Effects of Physiochemical Parameters and Microbial Counts on Metal Coupons Corrosions in Freshwater Environment at Different Water Depths
Abstract: The effect of water quality on metal coupon corrosion was investigated at the New Calabar River in Choba. The study examined metal corrosion rates at five different depths: 30 cm, 60 cm, 90 cm, 120 cm, and 150 cm in a freshwater environment. Water samples were collected at each depth and analyzed for physicochemical and microbial parameters to understand their impact on metal degradation. Key parameters measured included pH, Electrical …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 2, 2025 · pp. 31–51 Read article
-
Tribological Characteristics of Dental Crowns
Abstract: Dental tribology is an emerging field that focuses on improving the design and material choices for artificial dental systems. This paper looks at different dental crown materials, their clinical efficacy and the consequences of tribological wear on teeth due to interfacial movement. Ceramics are commonly utilized in fixed dental restorations because of their superior mechanical and cosmetic qualities, which include exceptional fracture resistance and clinical endurance. Ceramic crowns, often used …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 550–559 Read article
-
AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
-
Fungus Detection System
Abstract: This project identifies fungal pathogens in wet soil with sensors and gives an instant result through an Android app. It helps farmers avoid crop loss, increase yield, and encourage eco-friendly farming practices by enabling early detection and evidence-based decision-making for soil health management. Soil condition is most important to agriculture and environmental health. Having fungus in pre-maturity soil analysis can prevent crop damage and increase the yield. This project seeks …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 30–34 Read article
-
Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
-
AI-Driven Robotics for Sustainable Solutions in Disaster Management
Abstract: Disasters, whether natural or man-made, present significant challenges to societies worldwide. Efficient response, recovery, and mitigation strategies are crucial to minimizing human suffering, loss of life, and economic damage. Traditional disaster management strategies, while effective to some degree, often face limitations related to human resources, response time, accessibility, and safety. The integration of artificial intelligence (AI) and robotics into disaster management offers transformative potential for overcoming these challenges. This paper …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
-
Struggles Against Displacement: A Case Study of Nilgiri Tribes TODA
Abstract: This research explores the displacement faced by the Nilgiri tribes of southern India, examining both historical and contemporary contexts. Historically, the Nilgiri tribes, including the Todas, Kotas, and Kurumbas, have lived in the Nilgiri Hills for centuries, maintaining distinct cultural practices and agricultural traditions. However, the onset of British colonial rule in the 19th century marked the beginning of their displacement, as the British established tea plantations, appropriating tribal lands. …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 2, 2025 · pp. 39–49 Read article
-
Effect of Drilling Process Parameters on Surface Roughness of LM6/B4C/Fly Ash Hybrid Composites
Abstract: This research seeks to assess the effect of process variables such as feed rate (FR), spindle speed (SS), drill material (DM) and reinforcement (R%) on surface roughness (SR) when drilling LM6/B4C/Fly ash hybrid composites. The stir casting process was used to fabricate the LM6/B4C/Flyash hybrid composites utilizing LM6 aluminum alloy as the matrix material and B4C/Fly ash as strengthening materials. Experiments were carried out using an L18 orthogonal array (OA) …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 898–906 Read article
-
Recent Advances in Crystalline Materials
Abstract: Crystalline materials are solids in which atoms, ions, or molecules are arranged in a highly ordered, repeating three-dimensional lattice. This well-defined structure gives rise to unique physical, chemical, electrical, optical, thermal, and mechanical properties, making crystalline materials essential for numerous scientific and industrial applications. Advances in materials science, crystal engineering, and nanotechnology have enabled precise control over crystal size, morphology, composition, and defect structures through innovative synthesis techniques. These developments …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 · pp. 14–21 Read article
-
HMM-Based Text-to-Speech Synthesis & Stressed Speech Processing
Abstract: According to this paper, the new system produces synthetic speech that is noticeably higher-quality thanspeaker-dependent systems when actual speech data sets are used, and it can compete with speaker-dependent approacheseven in situations when substantial speech data sets are available. This excitation signal, the glottal source, has naturallypiqued the interest of speech synthesis, and a variety of techniques have been developed to mimic the glottal source ofspontaneous speech.The use of artificial …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 7–14 Read article
-
A Study on “Clean" in Beauty: A Machine LearningApproach to Ingredient Transparency and ConsumerTrust
Abstract: The burgeoning "clean beauty" market, while driven by consumer demand for safer and more sustainable products, is plagued by ambiguous definitions and the pervasive challenge of "greenwashing". This ambiguity hinders informed consumer choices and complicates brand authenticity. This study addresses these complexities by developing a novel machine learning (ML) framework designed to objectively analyze cosmetic ingredient lists, classify products based on their "cleanliness" profile, and identify key ingredient attributes that …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
-
Heterogeneous vs. Homogeneous Catalysis: Comparative Insights and Breakthroughs
Abstract: Catalysis, a pivotal process in chemical reactions, can be classified into two main types: heterogeneous and homogeneous catalysis. This comparative analysis delves into the distinctions, advantages, and breakthroughs in both domains. Heterogeneous catalysis, involving catalysts in a different phase than the reactants, is characterized by ease of separation and catalyst recovery, making it industrially favorable. Conversely, homogeneous catalysis, where catalysts and reactants share the same phase, offers superior selectivity and …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
-
A Review on Loan Approval Prediction Based on Machine Learning Techniques
Abstract: The banking industry has also benefited greatly from technological advancements. An increasing number of individuals are submitting loan applications on a daily basis. When deciding which loan applicants to approve, the bank must take certain rules into account. The bank needs to choose the best one for approval based on certain characteristics. The process of carefully verifying every person and recommending them for loan approval is laborious and fraught with …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 1–11 Read article
-
Envirotech: A Leading Innovation For Future Generation
Abstract: Envirotech or Environmental technology is the usage of environmental science and technology to monitor and conserve the natural environment and resources, and to reduce the negative impacts of human involvement. It involves the purification of the contaminated environment, waste management and production of sustainable energy without harming the nature. It aims to facilitate the human needs without harming the nature. Many technologies are developed to conserve water, reduce waste, produce …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 3, 2021 · pp. 38–44 Read article
-
Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
-
Development of strontium ferrite/polyamide 12 and neodymium iron boron/polyamide 12 composites using additive manufacturing
Abstract: Polymer matrix composite materials with magnetic properties obtained by the addition of micron-size particles of neodymium iron boron (NdFeB) and strontium ferrite for fused filament fabrication (FFF) are becoming attractive because of their potential applications in the health and automotive industries. Additionally, the design flexibility and low cost of additive manufacturing processes encourage the scientific community to create the materials and understand the properties of the parts obtained with such …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
-
An Overview of Smart Attendance System and Communication system
Abstract: Our attendance is made more sophisticated and self-controlled by using "the smart attendance system (SAS)," which is the topic of this paper. It has an innovative QR scanner technology that makes the process accurate and simple. The system operates efficiently, saving us time and requiring less labor to maintain attendance. Previous versions of the monitoring system had problems locating students and required a tedious manual attendance method. Thanks to developments …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 2, 2023 · pp. 12–17 Read article
-
THE REGULATORY ROLE OF FOOD SPICES AGAINST LIPID PEROXIDATION IN MEAT PRODUCTS
Abstract: Spices are plant-based materials used for enhancing the flavor, taste and aroma of meat and have been employed in cooking and meat processing for many decade. Interestingly, some of these spices have found relevance in meat preservation as they not only enhance the flavor and taste of meat product but can also reduce meat spoilage. One of the major causes of meat spoilage outside those induced by microbes is Lipid …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 3, 2024 · pp. 21–25 Read article
-
Representation-Theoretic Symmetry Reduction and Fuzzy-Grey Optimization of Modular Vibration Systems
Abstract: This paper presents a representation-theoretic framework for symmetry-aware vibration control in modular structural systems. Exploiting cyclic symmetry, the mass, damping, and stiffness operators are block-diagonalised into irreducible representations, reducing the full structural dynamics to a collection of lower-dimensional modal subsystems. This decomposition provides both computational efficiency and a rigorous mathematical description of symmetry-preserving dynamic behaviour. To account for imperfections arising in practical implementations, near-symmetry defects in stiffness and damping are …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 22–30 Read article
-
SIMULATION OF ETHANOL DISTILLATION USING CHEMCAD
Abstract: Aiming for Sustainable and low-Cost operation of ethanol distillation. The recovery step is usually carried out during the distillation process and is challenging, particularly regarding purity, operating cost issues. This study aimed to evaluate the ethanol distillation from ethanol-methanol and water mixture as a function of the reflux ratio in a process employing a Fractionating column. Test were performed using a standard mixture of ethanol, methanol and water using total …
Published in Emerging Trends in Chemical Engineering · Vol. 6, Issue 2, 2019 · pp. 1–6 Read article