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308 articles for “future research directions”
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ChatGPT's Drawbacks and Benefits as a Study Aid for Students
Abstract: This study aims to investigate the opportunities and problems that come with using ChatGPT as a student assistance tool. A survey was completed by 60 students who had utilised ChatGPT for school-related reasons. The study examined the views of the students regarding the usefulness of ChatGPT, its impact on their learning, and any challenges they had when utilising it. Based on its prompt and accurate responses to students' inquiries, ChatGPT …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 62–69 Read article
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Fertilizer Prediction Using Machine Learning
Abstract: Fertilizer prediction is a critical aspect of modern agriculture, aimed at optimizing resource utilization while maximizing crop yields. In recent years, machine learning (ML) techniques have emerged as powerful tools for addressing this challenge by leveraging data-driven approaches to predict the optimal type and quantity of fertilizer required for different crops and soil conditions. This research paper provides a comprehensive review of the existing literature and methodologies employed in fertilizer …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 26–35 Read article
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Synthesis And Application of Nano Zinc Oxide in Fabrication of Rubber Composites
Abstract: Nano zinc oxide (ZnO) has garnered significant attention in recent years due to its unique properties and potential applications in various fields. This paper discusses the synthesis of nano ZnO by precipitation method and characterizes them with various techniques such as X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), and Fourier Transform Infra-Red (FTIR) Spectroscopy and explores its application in the preparation of rubber composites. These synthesized particles were measured to …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 1–10 Read article
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Harnessing Microbial and Phytoremediation Techniques for Sustainable Remediation of Heavy Metals in Black Cotton Soils
Abstract: Black cotton soils, renowned for their fertility and moisture retention capabilities, face significant challenges due to heavy metal contamination, posing threats to both agricultural productivity and environmental integrity. This review paper presents a comprehensive overview of bioremediation strategies aimed at mitigating heavy metal pollution in black cotton soils. The paper underscores the importance of addressing heavy metal (HM) contamination, emphasizing the need for exploring bioremediation techniques, as it sets the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 193–201 Read article
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Gut Microbiome Dysbiosis During Metabolic Disorders: Diabetes
Abstract: Understanding the intricate interplay between gut microbiome dysbiosis and diabetes is crucial due to the escalating prevalence and impact of diabetes mellitus globally. This comprehensive review examines the current understanding of this relationship, elucidating how alterations in the gut microbiome composition contribute to diabetes pathogenesis by influencing metabolic homeostasis, immune regulation, and insulin resistance. Dysregulation of gut microbial communities leads to shifts in diversity and abundance, exacerbating chronic low-grade inflammation …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 56–75 Read article
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Evaluation of Emergency Response Plans in Industrial Environments Using Simulation Techniques
Abstract: Industrial facilities, particularly those in the chemical, manufacturing, and energy sectors, face significant hazards due to their complex operations and the handling of hazardous materials. Ensuring the safety of workers and minimizing the impact of incidents require robust and effective emergency response plans (ERPs). Traditional evaluation methods, such as drills and tabletop exercises, often fall short in replicating the complexities of real-world emergencies. These methods may lack the realism needed …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 6–10 Read article
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Bio-Inspired Membranes in Oral Drug Delivery: A Pathway to Enhanced Permeability and Targeted Therapy
Abstract: Bio-inspired membranes in oral drug delivery represent a significant advancement in pharmaceutical technology, harnessing principles of natural biological systems to improve drug permeability, bioavailability, and targeted release. This review discusses the design, materials, and fabrication techniques used in bio-inspired membranes, with a focus on materials like chitosan, silk fibroin, and synthetic polymers that mimic biological structures. By exploring the mechanisms of drug permeation, such as mucoadhesion and selective permeability, bio-inspired …
Published in International Journal of Membranes · Vol. 1, Issue 2, 2024 · pp. 39–52 Read article
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Advanced Control Techniques: Super-twisting Controller Applications and Insights
Abstract: Sliding mode control (SMC) provides robust control for uncertain systems. This study focuses on the Super-Twisting Controller (STC), a powerful SMC technique known for its finite-time convergence and robustness. Its importance is to provide chatter-free control and robustness against uncertainty, and make it suitable for systems with nonlinear dynamics and disturbances. The advantages of STC are faster speed, more accurate control actions, and enhanced system stability, though may require careful …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 2, 2024 · pp. 1–7 Read article
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Evaluation of Bio-Based Polymer Composites Containing Guava Leaf Extract for Antimicrobial Functionality
Abstract: This study explores the formulation of an herbal soap using guava leaf extract as a primary ingredient. Guava leaves are a rich source of biopolymers like pectin and cellulose, which may contribute to the binding properties in the soap. The antimicrobial activity of the soap was evaluated against common skin pathogens (Staphylococcus aureus, Trichoderma spp., Aspergillus spp.). The formulated soap exhibited inhibitory effects against all tested pathogens. The weight, foaming …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 875–880 Read article
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Design of Biped Robots: A Review
Abstract: Biped robots, inspired by the human’s kinematic structure, have seen remarkable evolution from early mechanical automata to today’s sophisticated machines capable of performing complex tasks. Their design aims to achieve efficient and stable movement on two legs. This paper examines the current advancements and historical progress in the development of bipedal robots. The authors investigate the implementation of these robots in various fields, like healthcare, entertainment, search and rescue operations, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 36–46 Read article
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High-Performance Thin Film Coatings for Corrosion Resistance in Extreme Environments
Abstract: Corrosion is a serious concern in industries such as aerospace, marine, and oil & gas, where materials are exposed to harsh environments. High-performance thin-film coatings have emerged as a critical solution to mitigate this issue, providing a protective barrier against harsh chemical and physical conditions. This review article highlights recent advancements in thin-film coatings designed to enhance corrosion resistance in such environments. The focus is on various coating materials, including …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 20–25 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Unveiling The Seamless Integration: The impact of IOT Technologies on everyday life and organizational Dynamics
Abstract: Internet of Things (IoT) is about connecting devices worldwide to simplify life and save energy. This study talks about these issues and looks ahead to what is next for IoT. Even though IoT mixes the digital and physical worlds, there is still a lot to learn. This study discusses the problems and suggests solution for future research. Currently, IoT is changing everything from homes to industries. This study explains IoT …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 1–9 Read article
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Bringing Serverless Edge Computing to School Administration: Challenges and Opportunities
Abstract: Serverless edge computing is revolutionizing app development by creativity in infrastructure management. However, traditional cloud-based serverless architectures can suffer from latency and reliability issues when serving users at the edge of the network. While edge computing brings storage and computing closer to data sources, upgrading performance and reducing network issues. This paper explores the convergence of serverless edge computing, examining the opportunities and challenges that arise from this integration. Delving …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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LLM Evolution: Secrets and Disadvantages
Abstract: The advancement of large language models (LLMs) has initiated a significant transformation in artificial intelligence, with substantial effects on fields including natural language processing, machine learning, and human-computer interaction. This research examines the diverse improvements in LLMs, emphasizing significant milestones from early models such as GPT-2 to contemporary state-of-the-art designs. The investigation highlights the novel training methodologies, such as unsupervised learning and transfer learning, which have markedly improved the capabilities …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Heterocyclic Compounds in Thin Film Coatings: A Review on Anticorrosion and Antimicrobial Properties.
Abstract: Heterocyclic compounds have gained significant attention in thin film coatings due to their exceptional chemical versatility and functional properties. These compounds, characterized by the presence of heteroatoms in their ring structures, play a crucial role in enhancing the anticorrosion and antimicrobial performance of protective coatings. This review explores the recent advancements in the application of heterocyclic compounds for corrosion resistance and microbial inhibition, emphasizing their mechanisms of action, effectiveness, and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 16–21 Read article
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A Hybrid Algorithm for Processor Scheduling Using Game Theory Variants
Abstract: This study proposes a novel hybrid algorithm for processor scheduling in modern operating systems, integrating the strengths of traditional scheduling methods with game theory variants. Traditional schedulers often struggle to adapt to dynamic workload changes, leading to suboptimal performance. Our hybrid approach addresses this by treating processes as "players" in a game, where the "payoff" is CPU time. A base scheduler (e.g., Weighted Fair Queuing, Earliest Deadline First) provides a …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 48–56 Read article
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AI and IoT in Sustainable Agriculture: A Review
Abstract: Artificial Intelligence (AI) and Internet of Things (IoT) integration have transformed the world of sustainable agriculture, presenting new ways of resource optimization, increasing crop yields, and making environmental sustainability more accessible. The current literature review analyzes the applications of AI and IoT in three significant agricultural systems: aquaponics, hydroponics, and poultry farming. By critically analyzing recent studies, this paper emphasizes how deep learning- enabled computer vision techniques allow for the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 32–45 Read article
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Review And Analysis of Application of Conductive Polymer Composites in Power-Efficient RF Circuits For 5G PAPR Reduction
Abstract: The need for low power RF circuits has gained more importance in the background of fifth-generation (5G) wireless communication systems, since the inherent PAPR characteristic of 5G signals—especially when using orthogonal frequency division multiplexing (OFDM) based techniques—becomes high. This high PAPR limits the efficiency of RF power amplifiers, increases power consumption, and induces thermal management challenges. In this context, conductive polymer composites (CPCs), based on advanced polymer matrices integrated with …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 111–125 Read article