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334 articles for “feature based techniques”
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Emerging Engineered Nanoweapons for Tumors
Abstract: Cancer is a type of disease characterized by abnormal growth of cells which tend to proliferate in uncontrolled manner. It occurs at molecular level when genes undergo genetic alterations. The malignant growth of tumor cells results in non-functioning of the concerned organ. Over the years, cancer targeting technique has greatly improved by new approaches based on nanotechnology. Nanotechnology is helpful in development of new therapies against cancer. Nanotechnology is a …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 1, Issue 2, 2012 · pp. 1–6 Read article
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A Comprehensive Method for Sentiment Analysis on Twitter Posts
Abstract: AbstractIn recent years, with ascent of users of social media, researchers get drawn to sentiment analysis. The challenge is that sentiment-dependent info from multiple sources does not seem to be thought of usually in existing sentiment classification techniques. Sentiment analysis is incredibly vital as a result of it helps folks and organizations in their decision-making process. There is vast explosion of “sentiments” on the market from social media like Twitter, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 2, 2017 · pp. 1–5 Read article
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Graphene-Based Electronic Skin for Wearable Health Monitoring and Human–Machine Interaction, Materials, Structures, and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 175–180 Read article
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Comparative Analysis of a Lie Detector using Support Vector Machine, Naive Bayes, and Random Forest Algorithm with Speech to Text Conversion
Abstract: Lie detection, additionally known as deception detection, uses questioning techniques to determine truth and falsehood in response. Physiological responses like vital sign, blood pressure, heartbeat, and respiratory rate are used to discriminate between truth and lie. Once we lie, our blood pressure goes up, our heart beats quicker, we have a tendency to breathe faster (and our breathing slows once the lie has been told), and changes occur in our …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 13–18 Read article
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Fault Diagnostic Method of Transformers based on Hybrid ANN and Expert System
Abstract: Transformers are major equipments power system which affects not only the electrical energy availability of the area supplied, but also the economical operation of utilities. The most important concern about incipient faults in power transformer is that they may reduce the electrical and mechanical stress of the insulation. This proposed hybrid system utilizes dissolved gas in oil analysis techniques to diagnose for fault condition of power transformers. The Roger’s Four …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 1, 2014 · pp. 27–32 Read article
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Cryptography of 5th Generation Network Security Attacks in D2D Communication: A Review
Abstract: Cryptography is the science for hiding the secret information. Cryptography is a technique/method that allows data to be sent in a secret and a secure form. In the present era, 5G technology is the most prominent technology in the network domain. However, it was said to be available in 2020, but still there are many views of expected features, benefits, and threats in 5G. 5G is a promising technology that …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 1, 2023 · pp. 15–24 Read article
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Circuit Topologies, Operation, Control Schemes and Modulation Techniques of Modular Multilevel Inverter
Abstract: The Modular Multilevel Converter (MMC) is one of the developing topology. MMC has several attractive features such as a modular structure, transformer-less operation, easily scalable in terms of voltage and current, low expense for redundancy and fault tolerant operation and excellent output waveforms quality. Due to these attractive features industry and researcher increased the interest in this converter. This interest results in the development of new power topologies, modulation strategies …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 1, 2017 · pp. 28–40 Read article
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Quality Inspection, Maturity Detection, and Size based Grading of Various Types of Mangoes using Machine Learning Methods
Abstract: Mango is the most significant and flavorsome fruit in most continents, especially in Asia. Mango grading is an important task in agro-industry. The grading process creates many problems during harvesting for mango growers. The manual grading process is performed by visual inspection and it is very time consuming and labor intensive. Due to different market prices and different market demand, automation in mango grading plays an important role to achieve …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 18–31 Read article
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Advancements and Challenges in Automated Guided Vehicles for Smart Industrial Automation
Abstract: Automated Guided Vehicles (AGVs) are increasingly central to modern industrial automation, enhancing operational efficiency in manufacturing, warehousing, and logistics. Traditionally reliant on fixed paths using magnetic tapes or wired tracks, AGVs were limited in flexibility. However, recent technological advances have enabled the development of autonomous AGVs equipped with sensor fusion, LiDAR, computer vision, and artificial intelligence (AI). These features support real-time obstacle detection, dynamic path planning, and robust performance in …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Navigating Higher Education: Investigating the Efficacy of College Enquiry Chatbots
Abstract: College Enquiry A chatbot is a kind of online application, and this project's primary goal is to give information about colleges. It only provides information on colleges. Something along the lines of "How many branches in college? "How many pupils are in each branch? "By adding some more features and making some improvements we can embed this project into the working site of the college. A chatbot is a software …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 3, 2023 · pp. 7–11 Read article
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Diabetic Risk Prediction Using Machine Learning
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
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A Review on Solar Multilevel Inverter for the Production of Free Energy Due to the Structure with Long-life Feature
Abstract: Multilevel inverters play a major role in medium voltage, high power and renewable applications. It is also used in certain applications where high switching frequency, and high output voltage gain are required. The switching transient period of a MOSFET should be minimal because a high dv/dt rate could result in permanent damage to the MOSFET. The harmonics present could cause many problems and so it has to be minimized. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 13–18 Read article
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Effect of Conventional Physiotherapy and Modified Constraint Induced Movement Therapy through Play way Method to Improve the Upper Extremity Motor Skills among the Children with Hemi paretic Cerebral Palsy
Abstract: There is a tendency in children with unilateral involvement to use their non-affected hand as the dominant hand, even when the actual functional loss is mild. The potential use of the affected upper extremity of children with hemiparetic CP often fails due to “developmental non-use”, and this leads to increased muscle tone, and decreased active and passive range of motion of the joints of the limb, poor motor control, generalized …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 2, Issue 2, 2013 · pp. 1–9 Read article
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Fabrication and Characterization of Copper Nanowires: An Overview
Abstract: Copper (Cu) is one of the most important metals in modern electronic technology. Keeping in view its role in nanoelectronics, we have fabricated copper nanowires of diameters 100 and 200 nm using Anodic Alumina and polymer membranes as templates. Template-based growth of copper nanowires has been realized using conventional electro deposition technique in an electrochemical cell designed in our laboratory. Fabrication of copper nanowires is one of the most important …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 1, Issue 1, 2011 · pp. 1–16 Read article
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Randomized Latent Vectors for Enhanced Reinforcement Learning Exploration
Abstract: This paper investigates Random Latent Exploration (RLE), a novel reinforcement learning technique that enhances exploration using randomized latent vector conditioning. I evaluate RLE’s performance across various environments, including discrete control tasks (FourRoom), continuous control (IsaacLab), and complex visual domains (Atari games). The core approach augments traditional reward functions with intrinsic rewards, calculated as the dot product between state features and periodically resampled latent vectors. The policy and value networks are …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article
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Enhancement of Soil Fertility Using Natural Fiber-Based Engineering Composite Materials for Higher Crop Production: A Review Paper
Abstract: Enhancement of Soil fertility using engineering composite materials via efficient nutrient management strategies is essential as is rising natural fiber based composite material crop production every land area unit to satisfy next diets and fiber consumption. Major developments have improved the production's nutrient-use economy Improved crop flexibility to applied nutrients, decreased off shore nutrient move, and greater predictions of the nutrients available to plants in the root zone have all …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 79–87 Read article
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Harmonic Compensation in Grid Interconnected DG Units by Closed Loop Control
Abstract: This paper deals with improvement of power quality problem namely harmonic problem using distributed generation as their source of electricity. The harmonics occur in such a system because of the nature of loads connected. There are many power quality problems; out of which harmonics normally caused by nonlinear loads like variable frequency drives, fluorescent lightning, office computers etc. have adverse effects on the power quality. Also, harmonic detection and prediction …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 1, 2017 · pp. 9–17 Read article
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Research on Synchronous Generators AC Excitation Regulation Control System
Abstract: Based on various methods to supply excitation power to the synchronous generator it is categorized in three different types of excitation systems for synchronous motor. The first one is DC excitation system, second is AC excitation system and third one is static excitation system. The increasing size of contemporary power systems ensures system dependability and stability. A better supply of power is vital and has a big influence on improving …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 2, 2024 · pp. 10–16 Read article
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Analysis of Friction Stir Welding Utilizing ANSYS: A Study Based on Simulation
Abstract: Friction Stir Welding (FSW) represents a sophisticated solid-state welding methodology that has attracted considerable scholarly attention due to its efficacy in amalgamating high-strength, lightweight substrates including aluminium, magnesium, and titanium alloys. FSW enables the fabrication of defect free products with a substantial amount of mechanical and wear properties. The process is highly sensitive to various parameters that significantly influence the quality and strength of the final product. Studies have shown …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 62–77 Read article
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E-Voting Application Using Blockchain
Abstract: Electronic voting (e-voting) is increasingly recognized as a method for improving the electoral process by enhancing security, accessibility, and efficiency. However, traditional e-voting systems present challenges, including security vulnerabilities, lack of transparency, and privacy concerns. This study presents an e-voting system powered by blockchain technology, designed to enhance decentralization, security, and protection against fraud. By leveraging blockchain’s features such as immutability, transparency, and cryptographic security, this model mitigates risks related …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 12–21 Read article