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1971 articles for “advancements” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Smart Personal Safety Device Using IoT
Abstract: Our goal is to identify a considering the rapid advancement of science and technology and our heavy dependence on technological features, a solution to this important problem for women. We are focusing to make a smart personal safety device that helps women’s and all peoples who need help or an extra security. This project not only helps women’s but also helps children, old age people and disabled people. The design …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 1, 2024 · pp. 29–35 Read article
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Arabidopsis thaliana. (L.) Heynh Multifunctional Sensor Proteins and Signaling Networks Plant Photoreceptors
Abstract: Light is a crucial environmental cue for the growth and development of plants as well as the production of photosynthetic energy. In order to recognize and process information from incoming light, plants employ sophisticated mechanisms. With the model plant Arabidopsis thaliana, five different types of photoreceptors have been found. (L.) Heynh Photoreceptors play a specialized and/or recurring role in fine-tuning many aspects of the plant's life cycle. Unlike mobile animals, …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 2, 2023 · pp. 08–24 Read article
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Computer-aided Drug Design Method for Anti-hepatitis C Drug Design
Abstract: Hepatitis C is a disease caused by the hepatitis C virus and can cause serious liver damage. There is currently no vaccine for this disease and the number of infections continues to increase worldwide. Currently used antiviral drugs are interferon alfa-2a and ribavirin, but about half of patients do not respond to therapy. Therefore, new drugs that protect against hepatitis C need to be investigated. Computational drug methods have been …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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A Review on Anesthetic Drug Discovery with Computer Aided Drug Design
Abstract: In contemporary medicine, anaesthesia is essential for enabling surgical procedures, pain control, and patient comfort. Finding and creating safe and efficient anaesthetics is crucial to enhancing patient outcomes and developing the medical field. In this review, we provide a comprehensive overview of anesthetic drug discovery with a focus on the integration of computer-aided drug design (CADD) methodologies. Beginning with an exploration of anesthesia mechanisms and targets, we delve into the …
Published in International Journal of Antibiotics Read article
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AIducate: Your Smart Tutor–A Survey
Abstract: The ongoing “datafication” of our social reality has led directly to the emergence of new data-driven business models across various sectors, including education. As a result, the market for educational services is rapidly expanding. Educational technology (EdTech) companies are at the forefront, offering data-driven pedagogical solutions that are reshaping the landscape of learning. Despite the market's growth, few companies are harnessing the full potential of artificial intelligence (AI) and machine …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 25–30 Read article
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Change Detection in Aerial Imagery
Abstract: The development of the Multi U-Net engineering marks an essential headway in geospatial question location inside ethereal symbolism investigation. The altered U-Net addresses the complexities of multi-class division in assorted geospatial settings. Leveraging the inalienable growing and contracting pathways inside U-Net plans, the Multi U-Net exceeds expectations in capturing complicated spatial data, in this manner setting up a vigorous establishment for exact division. The extend envelops an advanced picture handling …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 22–28 Read article
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Challenges in the Commercialization of Lithium (Li)–Sulphur (S) Batteries †
Abstract: Li-S batteries can be used in drones owing to their high gravimetric energy density (2600 Wh/kg of sulphur) as well as the high theoretical specific capacity values (1674 mAh/g) values. Most of the ground breaking inventions in energy sources occurred during war time (1st September 1939-2nd September 1945), including the discovery of the famous nuclear fission process that lead to the origin of the little boy and the fat man. …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 26–36 Read article
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Fortifying the Blockchain Fortress: A Machine Learning Paradigm for Enhanced Security
Abstract: Blockchain technology has emerged as a revolutionary tool in the digital landscape, enabling secure and transparent transactions across a decentralized network. Despite its robust security features, blockchain systems remain vulnerable to anomalies and malicious activities. The detection of these anomalies using machine learning has become essential for protecting blockchain networks and ensuring their integrity. This project delves into the application of machine learning techniques to detect abnormal patterns within blockchain …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 33–40 Read article
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GPT in Code Conversion: Achieving Agile, Accurate, and Effective Translations Across Programming Languages
Abstract: This comprehensive study meticulously investigates the intricacies and challenges inherent in the process of code conversion across a diverse range of programming languages. It provides an in-depth examination of select instances where code conversion poses significant challenges, and thoughtfully proposes innovative solutions to these complex problems. A key highlight of this research is the use of Generative Pre-trained Transformers (GPTs) like Copilot, which have proven to be instrumental in achieving …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 11–20 Read article
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Extractive Text Summarization: An Application Based Study
Abstract: Text summarization is an essential tool for extracting important information from lengthy texts or documents. Text Summarization has two main methodologies namely: Extractive Summarization and Abstractive Summarization. This study concentrates on extractive summarising, which selects significant sentences straight from the source material to create a summary. It is a popular option for many practical applications since it frequently produces summaries that are more accurate in terms of substance. In abstractive …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 41–48 Read article
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NanoBioAI: Utilizing Python to Investigate Magnetocaloric Effects in Magnetotactic Bacteria and Optimized Conditions for Thermotherapy
Abstract: The study presented in the research work represents a multidisciplinary approach, integrating biology, nanotechnology, and artificial intelligence. It specifically highlights the use of python computational power to investigate magnetocaloric effect (MCE) in magnetotactic bacteria (MTB), a phenomenon yet to be fully understood, characterized by reversible heating and cooling effects induced by magnetic fields. MTB are unique in that they contain embedded magnetic nanoparticles ranging from 10–100 nm in diameters. These …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 122–131 Read article
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Face Detection and Recognition Using MTCNN and FaceNet
Abstract: Face detection and face recognition are major tasks in the field of computer vision with several real-world applications and many products being developed in the same field. This study gives a detailed implementation of the product that is developed for accurate detection and recognition of faces along with audio output of the face detected. This development would act as a base for a few future products that can be developed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 132–140 Read article
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Prediction of Mobile Phone Price Using Machine Learning Classifiers
Abstract: One cannot imagine one's life without mobile phones; in today's digital era, mobile phones have become a necessity for everyone to fulfil their various demands like messaging, communication, entertainment, productivity, research, shopping and many more. In a thriving market of mobile phones where new smartphones are launched every year with new advanced features and various designs, determining the expense of a mobile can be a trouble-some tasks for consumers. In …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 101–108 Read article
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Securing AI: A Survey Addressing Cyber Threats Arising in Cyber Security Due to Artificial Intelligence
Abstract: In today’s ever-evolving technological landscape, the integration of Artificial Intelligence (AI) across various industries underscores the critical need for a robust cybersecurity framework. This comprehensive survey delves into the pressing necessity of safeguarding AI systems against cyber threats. Recent incidents have highlighted the alarming susceptibility of AI to malicious attacks, showcasing the potential repercussions of compromised systems. These attacks range from data manipulation to privacy infringements, posing significant risks to …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 41–49 Read article
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Planktonic Organisms as Bio-indicators of Pollution in Aquatic Environments
Abstract: Planktonic organisms play a pivotal role in aquatic ecosystems, serving as vital bio indicators of pollution levels. This review offers a thorough exploration of their significance in assessing environmental health in aquatic environments. We delve into the diverse array of planktonic taxa, encompassing phytoplankton, zooplankton, and bacterioplankton, and examine their responses to various pollutants such as nutrient enrichment, chemical contaminants, and microplastics. These organisms exhibit remarkable sensitivity to environmental changes, …
Published in International Journal of Marine Life · Vol. 1, Issue 2, 2024 · pp. 21–26 Read article
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Fabrication, Numerical Simulation and Compact Modeling of Ph-BTBT-C10 Organic Thin Film Transistor
Abstract: Flexible and cost-effective electronics have been necessitated by the advent of organic thin-film transistors (OTFTs). This study aims to study the performance of OTFT using a 2-decyl-7-phenyl-[1]benzothieno[3,2-b][1]benzothiophene (Ph-BTBT-C10) organic semiconductor. The paper also explore accurate device modeling for technology optimization and circuit design that supports device improvement. This research includes device fabrication, numerical simulation using TCAD, compact modeling, and parameter extraction. By combining temperature-dependent bandgap narrowing with existing theories, this …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 1–18 Read article
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The Induction, Formation, and Establishment of Giant Cell in Plant-Parasitic (Meloidogyne Spp.)-Host Interactions: A Molecular and Cellular Basis
Abstract: Root-knot nematodes, (RKN) are obligatory endoparasites of over 3000 plant species, causing $70 billion in annual economic losses globally. The second stage juveniles hatch from the eggs invade the root apex and inject pathogen effectors that induce specialized feeding cell called Giants cell that are large multinucleated cell formed, due to repeated cycles of mitosis without cytokinesis and served sole source of feeding site for rootknot nematode. The ability RNN …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 11, Issue 2, 2024 · pp. 34–45 Read article
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Plant Growth Promotion: Role of Nanoparticles and Soil Microorganisms
Abstract: Crops intended to support rapidly expanding populations often face numerous harsh environmental conditions. Despite the natural evolution of plants in response to changing environments and ongoing efforts to engineer resistant varieties using the latest research advancements, food scarcity remains a challenge. Cultivating rhizosphere microorganisms presents an alternative strategy for enhancing plant growth and development. Moreover, engagements between flora and microbes influence both flora’s well-being and soil productivity. Autonomous soil bacteria, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 188–193 Read article
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Plant Growth Promotion: Role of Nanoparticles and Soil Microorganisms
Abstract: Crops intended to support rapidly expanding populations often face numerous harsh environmental conditions. DCrops intended to support rapidly expanding populations often face numerous harsh environmental conditions. Despite the natural evolution of plants in response to espite the natural evolution of plants in response to changing environments and ongoing efforts to engineer resistant varieties using the latest research advancements, food scarcity remains a challenge. Cultivating rhizosphere microorganisms presents an alternative strategy …
Published in Journal of Polymer & Composites Read article
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Renewable Energy Revolution: Mapping Global Trends and Future Directions
Abstract: For the objective of creating energy plans, setting baselines for objectives, tracking the adoption and performance of policy measures, and luring investment, it is important to have access to fast, accurate, and reliable data on renewable energy. Practical and forward-thinking energy plans are built on a foundation of sound data. This study offers a thorough examination of worldwide trends in renewable energy, taking into account the state of affairs at …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 1, 2024 · pp. 14–19 Read article