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1364 articles for “deep”
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New Analytical Reagents and Study of Preparation, Spectral Characterization, Scanning Microscopy, and Solubility Behaviors
Abstract: Chemical reagents used in chemical processes vary depending on the process in which they are used, but in general, chemical reagents are used to conduct quality analyses, to determine the contents of various chemical elements in raw materials and in finished products, to adjust the pH and alkalinity of chemical solutions, and to react with other chemicals and produce products. There are some examples of chemical reagents used in chemical …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 1, 2024 · pp. 16–27 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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An Effective Convolutional Neural Network for Identifying Cancer Blood Disorder Cells Using Microscopic Images
Abstract: Blood, bone marrow, and lymphatic systems are all impacted by hematological cancer is known as a cancer blood disorder. Blood malignancies and various blood disorders pose significant health challenges across all age groups. Early disease detection is essential for effective cancer blood disorder treatment and management. If a blood cancer is not identified in time, it may be hazardous. It results in abnormal white blood cell production by the bone …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 29–35 Read article
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The Evolution and Impact of Numbers: From Ancient Tallies to Quantum Computing: Review Article on Numbers
Abstract: Numbers are among the most fundamental constructs in human civilization, serving as the backbone of mathematics, science, technology, and virtually every aspect of daily life. They represent not only quantities and measures but also relationships, structures, and patterns that underpin the fabric of human understanding. From the earliest tallies etched on bones by prehistoric humans to the sophisticated numerical systems embedded in today’s artificial intelligence and quantum computing, the evolution …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 15–19 Read article
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Inhibitors for steel implements
Abstract: Oil and gas industries use corrosion inhibitors made of active inhibitor intermediate, carboxylic acid, demulsifier and surfactant in aromatic solvent, and alcohol. High pressure and high temperature oil well flow lines are made of steel pipes. These pipes are prone to corrosion from gaseous contamination, oil quality, flow rate, developed shear stress of turbulence, pump spar techniques, etc. Carbon dioxide to carbolic acid conversion at below 100oC temperature appears to …
Published in Journal of Catalyst & Catalysis · Vol. 6, Issue 2, 2019 · pp. 1–11 Read article
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Using Convolutional Neural Networks (CNN) for Age and Gender Prediction
Abstract: The network, security, and care have all become more dependent on age and gender identification. It's commonly used for children's access to age-appropriate content. To expand its reach, social media uses it to provide layered adverts and marketing. Face recognition has progressed to the point where we need to map it out further in order to achieve more usable results using various methodologies. In this study, we suggest using deep …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 27–32 Read article
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Mechatronics Robot Navigation using Machine Learning through Prolog Programming Language
Abstract: A basic decision-making system is developed in this paper using Neural Network in Machine learningto explore a robot in concealed condition. The robot can move out of explicit labyrinths effectivelythrough modifying its bearing and speed persistently via the neural system model for machinelearning. Over the past several years, navigation tasks for mobile robots have been widely studied.There have been many attempts to introduce the usage of machine learning algorithms. Excellentperformance …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 39–47 Read article
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Fabrication of AA5182-Semis for Precise Components
Abstract: Al4.5MgMn alloy is known to show an excellent physical and mechanical properties as well as manufacturing and fabrication ease as semis, suitable for making precise components like hull of the light weight vehicles and seamless tubes. Present work has tried to describe the development of microstructure and texture of an industrial tandem hot rolled Al4.5MgMn alloy sheet after laboratory cold rolling and annealing. Crystallographic orientation dependent strengthening rate has been …
Published in Journal of Materials & Metallurgical Engineering · Vol. 11, Issue 3, 2021 · pp. 21–32 Read article
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A Study of Drilling Challenges in Gas Hydrate Formation
Abstract: Gas hydrate is a solid, ice-like form of water, which contains gas molecules in its molecular spaces. Since mostly these hydrates are originated from under sea reservoirs. Due this gas hydrate drilling field undergoes many issues to produce natural gas and oil in worldwide. There are many researches going on many countries to overcome the challenges due to gas hydrates. In this paper we will discuss about the drilling issues …
Published in Journal of Petroleum Engineering & Technology · Vol. 10, Issue 1, 2020 · pp. 1–4 Read article
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Design and Analysis of Source Current Effect on Preamplifier-Positive Feedback-based CMOS Comparator Using 90 nm Technology
Abstract: One of the most important and essential components of the data converter circuit is the comparator and this paper presents the implementation and characterization of the basic and simplest CMOS comparator in 90 nm technology. Once the technology scales down, the design and implementation becomes an essential issue at sub-micron and deep-sub-micron technology. The behavior of the threshold voltage in the CMOS is not a linear quantity when the parameters …
Published in Journal of VLSI Design Tools and Technology · Vol. 3, Issue 3, 2013 Read article
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Information Technology in COVID-19 Prevention
Abstract: The era we have these days offers us ammunition everyday, fight this pandemic in ways we in no way formerly notion viable. There are several fitness associated applications which facilitate daily display your health and you may live related everyday a consultant every day everyday even without stepping out of doors. The rapid emergence of the new coronavirus in China has brought the entire world to a standstill. In China's …
Published in Current Trends in Information Technology · Vol. 12, Issue 2, 2022 · pp. 1–6 Read article
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A Survey on Neural Network based Classifier for Arrhythmia Detection
Abstract: Electrocardiogram (ECG) is one of the important diagnostic tool for the detection of the heart problem. Increasing number of cardiac patients need automatic detection techniques for various abnormalities or arrhythmias of the heart to reduce pressure on physicians and share their load. Coronary Care Units (CCUs) emphasizes on the task of accurate analysis of ECG signal at an early stage that can prevent disease, like tachycardia, to escalate there by …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 88–97 Read article
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Forensic Face Portrait Fabrication and Identification
Abstract: In today's world, the general crime rate is increasing by the day, and law enforcement agencies must discover ways to speed up the overall process and assist them in bringing criminals to justice. Face recognition technology, for example, might be used to identify and authenticate the perpetrator. The traditional strategy is to employ forensic sketch artists' hand-drawn face sketches to identify the offender; updating this would necessitate identifying the culprit …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 21–30 Read article
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A Novel Approach to Fingerprint Authentication Using Histogram Oriented Gradients for Feature Extraction and Machine Learning Convolution Neural Network for Classification
Abstract: With applied biometrics, it is possible to identify a person by examining a feature vector of attributes derived from their physical and behaviour characteristics. In biometrics, fingerprints have become one of the most famous and well known techniques of identification and authentication. In light of technological advancements and safety, fingerprint recognition has been successfully used in a variety of Civil, Defence, and Commercial applications for more than a decade. The …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 1–12 Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 13–23 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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A Surgical Exploration of the Mechanism and Regulation of the Respiratory System: A Conceptual Analysis
Abstract: The respiratory system plays a vital role in facilitating the movement of air in and out of the body, comprising a complex network of anatomical pathways. It is conventionally divided into two primary sections: the upper respiratory tract and the lower respiratory tract. Within the upper respiratory tract lie structures extending from the nasal passages down to the vocal cords, crucial for phonation. These vocal cords, composed of mucous membrane …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 1, 2024 · pp. 56–63 Read article
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AI Hindi Poem Generator
Abstract: The Hindi Poetry Generator project represents a pioneering initiative in the domain of computational creativity, blending machine learning algorithms and natural language processing methodologies to craft poetic expressions in the Hindi language. Rooted in the vast landscape of Hindi literature, this project harnesses the power of deep learning models to generate evocative and culturally significant poetry. At its core, the system relies on neural networks and sophisticated language modeling techniques …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 10–16 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article