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622 articles for “Time utilization”
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Optimizing Customer Care Centre Performance: A Data Analytics Approach
Abstract: Customer care centres are essential in today's competitive corporate environment for ensuring client loyalty and satisfaction. By utilizing data analytics approaches, one may gain important insights regarding performance overall, operational effectiveness, and customer interactions. Data analytics encompasses the analysing, interpretation, and extraction of valuable insights from data to aid decision-making and address intricate issues. Call centre analytics is the process of gathering and evaluating call data to assist companies in …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 34–49 Read article
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Cyberattack Detection and Prevention Using Empowering AI Tools
Abstract: With more organizations entering the digital transformation sphere, the opportunities and risks in cyberspace have increased and gone up in levels of sophistication and occurrence. Many of these developments are attributed to the limits of existing cyber security solutions where addressing new threats requires advanced detection technologies and techniques. Cyber threats gained a new meaning and dimension with artificial intelligence (AI) coming into play in ways that supplement security systems …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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The Impact of Bacteria and Biostimulants on Crude Oil Breakdown in Loamy Soil
Abstract: This study investigates the influence of bacteria and biostimulants—specifically Bryophyllum pinnatum leaves soaked in both water and ethanol—on the degradation of crude oil in loamy soil. A laboratory-scale bioremediation setup was employed using a batch reactor model and first-order degradation kinetics to assess total petroleum hydrocarbon (TPH) breakdown under controlled conditions. Various analytical tools and procedures, including gas chromatography (Agilent 6890) and microbial media such as nutrient agar and mineral …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Mechanical Analysis and Advanced Manufacturing of Eco-Friendly Groundnut Shell Powder Reinforced Epoxy Composites
Abstract: Polymer composites reinforced with natural materials are gaining significant attention because of their eco-friendly nature, cost-effectiveness, and favorable mechanical properties. This research explores the creation and mechanical analysis of epoxy composites strengthened with groundnut shell powder (GSP), exploring both untreated and benzoyl chloride-treated GSP variations. The research emphasizes utilizing agricultural waste material while achieving enhanced mechanical properties through surface modification and advanced fabrication techniques. The composites were manufactured using the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 174–185 Read article
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Smart Shuttle System: An IoT and Machine Learning Based Approach
Abstract: The Smart Shuttle System is an IoT-based system designed to provide a hassle-free, cashless payment experience for students using the shuttle service. The system utilizes RFID (Radio Frequency Identification) technology to identify students and deduct the fare amount from their account. Radio Frequency Identification (RFID) technology is being considered as an alternative to traditional money and Unified Payments Interface (UPI) for making payments due to several advantages it provides over …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 9–22 Read article
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Navigating the Cyber World: An In-depth Analysis of Internet Usage, Risks, and Influences on Adolescents
Abstract: This study surveyed aged 10 years and up to learn more about their online habits. In order to learn more about the online habits of this group, the survey asked questions regarding the frequency, duration, and motivations for respondents' time spent online. The study also looked at high-risk behaviours like excessive screen time, increased social media use, and extended gaming sessions as possible indicators of problematic internet use. Indicators of …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 19–25 Read article
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CakeMeUp App: an E-commerce Solution for a Cake Shop
Abstract: This study introduces CakeMeUp, an innovative Flutter and Firebase-based e-commerce app for cake shop, offering sleek UI, real-time order tracking, secure payments, and cake customization. Integrating RazorPay and ikChatbot enhances functionality. It tackles e-commerce challenges, delivering a scalable platform for seamless online cake ordering. Implementation details, advantages, and key features are explored. CakeMeUp addresses common challenges faced in the e-commerce space by delivering a robust and scalable platform tailored for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 24–32 Read article
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Application of an Online Chromium Reduction System for D/H Analysis of Water Samples with Large Isotopic Variations Using Conventional Mass Spectrometer
Abstract: We present an online chromium (Cr) reduction system for measuring the D/H ratio of water samples exhibiting significant isotopic contrast, where the memory effect cannot be overlooked. Memory compensation is incorporated into the analysis procedure to mitigate this effect, allowing the utilization of injection results that would otherwise be discarded due to the memory effect. This approach enables a faster analysis and an increased sample throughput. Additionally, crucial aspects of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 7–12 Read article
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Assessing Thyroid Disorder Awareness Among Pregnant Women: A Hospital-based Study in Kottayam
Abstract: The current study was carried out at Caritas Hospital to evaluate the knowledge of pregnant women regarding thyroid disorders. The study aimed to assess the level of knowledge about thyroid disorders among pregnant women and to explore the relationship between knowledge levels and selected demographic factors. A total of 194 pregnant women attending the obstetrics and gynecology outpatient department at Caritas Hospital in Kottayam were included using a convenience sampling …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 16–22 Read article
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In Silico Exploration of Podophyllum Hexandrum-Derived Phytocompounds as Potential Therapeutics Against Small Cell Lung Cancer (SCLC): A Molecular Docking Approach
Abstract: Small Cell Lung Cancer (SCLC) is a fast-growing and aggressive type of lung cancer that spreads quickly strongly associated with smoking. It is characterized by symptoms, such as persistent cough, breathing difficulties, or hoarseness, though it can sometimes be asymptomatic which makes early detection challenging. The tumor suppressor gene TP53 is critical in regulating the cell cycle and preventing uncontrolled cell division. Mutations in TP53 result in the loss of …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
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Advanced Energy-Efficient Technologies, Role of Artificial Intelligence and IoT in Energy Conservation
Abstract: One of the key elements in the development of every nation's economy is energy. Due to their enormous investment requirements to meet their rising energy needs, developing nations place a high priority on the energy industry. Utilize energy management, auditing, and conservation for cost reduction and boost efficiency. Achieving and maintaining optimal energy procurement and use across the organization is the goal of energy management in order to reduce energy …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 3, 2025 · pp. 51–64 Read article
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Comparison Between Reed–Solomon and BCH Code with Various Modulation Schemes Over Coding Gain and Coding Rate
Abstract: The main objective of this research paper is to make a comparison between the performance of Reed-Solomon (RS) and Bose–Chaudhuri–Hocquenghem (BCH) codes across different modulation schemes concerning coding gain and coding rate within an additive white Gaussian noise (AWGN) channel system, while maintaining a constant transmission bandwidth. In this paper bit error rate (BER) versus signal/noise (S/N) performance of a Simulink model is validated with MATLAB results for a RS …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 32–50 Read article
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Design and Analysis of Thermoelectric Dc boost converter
Abstract: In today’s consumer-oriented market, researchers are increasingly focusing on harvesting energy from ambient and renewable sources to enable sustainable power generation and reduce dependency on conventional energy resources such as batteries and fossil-fuel-based electricity. The rapid growth of portable electronics, wireless sensor networks, and Internet of Things (IoT) devices has created a significant demand for low-power, long-life, and maintenance-free energy solutions. In many practical situations, frequent battery replacement is difficult, …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Estimation of Alogliptin and Dapagliflozin in Synthetic Mixture by RP-HPLC Method
Abstract: The primary objective of the proposed research was to develop and validate analytical methods for the simultaneous quantification of Alogliptin and Dapagliflozin in a synthetic mixture. Alogliptin and Dapagliflozin are medications used for managing diabetes, with Alogliptin inhibiting the enzyme Dipeptidyl peptidase-4 and Dapagliflozin belonging to the class of sodium-glucose cotransporter 2 inhibitors. High-performance liquid chromatography method development was conducted using a C18 column (250 mmX4.6 mm, 5 μm particle …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 37–46 Read article
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Android Based Food Donation Application
Abstract: This application harnesses the power of mobile technology to connect food donors, such as restaurants, grocery stores, and individuals, with local charities and food providers to the needy ones, thereby creating a more sustainable and utilizable food ecosystem. This becomes particularly crucial during crises, such as the COVID-19 pandemic. The system developed emphasizes the creation of an engaging and user-friendly mobile application interface. This app serves as a widespread platform, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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The Role of Precision Agriculture in Enhancing Horticultural Crop Yields
Abstract: This article explores the quantification of lithium and mapping of mineral composition in crushed lithium ore utilizing two distinct calibration techniques with Laser-Induced Breakdown Spectroscopy (LIBS). Thirty samples from a pegmatite lithium deposit were analyzed, with representative mineral samples extracted, mixed with resin, and polished into disks. These disks underwent examination via an analyzer and an integrated mineral analyzer, facilitating mineral identification. The first calibration technique used empirical mineral chemistry …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 1, 2024 · pp. 18–23 Read article
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Design and Development of a Triboelectric Sensor for a Generic Counting Application
Abstract: In today’s consumer-oriented market, researchers are increasingly focusing on harvesting energy from ambient and renewable sources to enable sustainable power generation and reduce dependency on conventional energy resources such as batteries and fossil-fuel-based electricity. The rapid growth of portable electronics, wireless sensor networks, and Internet of Things (IoT) devices has created a significant demand for low-power, long-life, and maintenance-free energy solutions. In many practical situations, frequent battery replacement is difficult, …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 38–48 Read article
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A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article