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135 articles for “image detection”
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Quantum Dots in Oral Diagnostics and Theranostics: Promise and Preclinical Status
Abstract: Quantum dots in oral diagnostics and theranostics represent a rapidly evolving, largely preclinical strategy that couples highly sensitive optical imaging with targeted therapeutic delivery in the oral cavity. Their size-dependent emission, high photostability, and broad excitation spectra allow bright, multiplexed visualization of key molecular events in oral potentially malignant disorders and oral squamous cell carcinoma, while surface functionalization with antibodies, peptides, or smallmolecule ligands enables selective binding to dysplastic and …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 18–25 Read article
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Quantum Dots in Oral Diagnostics and Theranostics:Promise and Preclinical Status
Abstract: Quantum dots in oral diagnostics and theranostics represent a rapidly evolving, largely preclinical strategy that couples highly sensitive optical imaging with targeted therapeutic delivery in the oral cavity. Their size-dependent emission, high photostability, and broad excitation spectra allow bright, multiplexed visualization of key molecular events in oral potentially malignant disorders and oral squamous cell carcinoma, while surface functionalization with antibodies, peptides, or small-molecule ligands enables selective binding to dysplastic and …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 20–30 Read article
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How to Prevent Anorexia Nervosa
Abstract: This article provides knowledge regarding prevention of anorexia nervosa for improving physical and mental health of young population especially adolescent girls. The main aim of this article is to change the attitude of peoples regarding refusal of food for maintaining body image. Anorexia nervosa is an eating disorder characterized by psychologically feeling of loss of appetite especially in age group of adolescents (mostly girls) because of they want to be …
Published in International Journal of Neurological Nursing · Vol. 3, Issue 1, 2017 · pp. 30–31 Read article
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Malaria Detection using Machine Learning
Abstract: A life-threatening disease called Malaria is caused by parasites that get transmitted intopeople's body by the bites of infected mosquitoes. If Automation is used for the diagnosisprocess of this disease it will enable accurate diagnosis of the disease and hence it willdeliver a reliable health-care to resource-scarce areas. Currently malaria is being diagnosedby performing microscopic tests on blood smears of the patients. They require examinationby a skilled and well experienced …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 1, 2020 · pp. 40–44 Read article
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Deep Learning Approach Based Brain Tumor Detection
Abstract: The brain tumor is one of the most deadly disease which is of great concern and hence to detect and extract the effected tumor area in the brain from the MRI has lot of research potential. It is also a very difficult task to perform by the experts. The perfection of the vivisection depends on how much experienced the radiologist or the clinical expert is. So to overcome the wastage …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 57–63 Read article
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Magnetic and radioactive nanoparticles for improved CGT and theranostics application
Abstract: Nanoparticles based therapeutic and theranostics technique is becoming an active area of research in nanomedicine. Nanomedicine as a major application of nanotechnology enables efficient diagnosis procedures, imaging system, therapeutic techniques, and drug delivery system. This research presents an overview of methods that enable integrating both diagnosis and therapeutic techniques which increase efficacy and reduce time. Hence, we look forward on the power of such theranostics techniques which involves the use …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 1, 2025 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Feature Extraction and Evaluation of Colon Cancer Using PCA, LDA and Gene Expression
Abstract: At about 90 per cent of cases occurring in 50 people or older, colorectal cancer is the second most common type of cancer globally. Cancers may penetrate the deeper layers of colon and spread to other organs from the inner surface or from the muscular layer of the colon. The illness is lethal left untreated. Current screening of colon cancer is performed by colonoscopy. Visual examination of the colon and …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 26–32 Read article
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Fuzzy and Intuitionistic Fuzzy Operators with Applications in Breast Tumor Classification
Abstract: Breast Cancer accounting for 14% of all cancers in women is the most familiar cancer among women in India. According to GLOBOCON data 2018, 1,62,468 new cases and 87,090 demises were accounted for breast cancer in India. The incidence rate of breast cancer starts rising in the early 30s and reaches a peak at the age of 50–64 years. In general, 1 in 28 women will develop breast cancer at …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 35–46 Read article
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Biometric Fingerprinting and Face Recognition Based Security System
Abstract: ABSTRACTThere are several applications of biometric and face recognition based security system like industries, offices and colleges or homes. This project is an amalgamation of “BT” and “ESD”. The most important part of this system is the fingerprint sensor. Fingerprints of the person is detected using biometric sensor to detect fingerprint. The techniques used for detecting fingerprint are ultrasonic, optical method or thermal. In this paper, fingerprint sensor is used. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 6, Issue 1, 2020 Read article
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High Efficient Energy Harvesting by Solar Panel Using Polychromat Layer
Abstract: Abstract:- This project is used to harvest high amount of energy by solar panel using polychromat layer. Polychromat layer is the one which splits all kinds of radiation from the sun where the other solar panels without the polychromat layer can not absorb all types of radiation from the sun. This layer absorb all type of radiation from 10^-4 to 10^-8 while the others can’t absorb it. The complete rotation …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 11–15 Read article
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Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
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Fall Detection and Rescue System from Borewell
Abstract: The way the plates are arranged within the bore well prevents the youngster from entering very far, hence the offered remedy will ensure the child's survival. Unintentionally falling into a borewell can be extremely hazardous, especially for children and animals, as it could endanger their lives. In order to solve this issue, the suggested system has developed a unique robot system that can swiftly identify and handle such situations. The …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 7–13 Read article
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Sign Language Alphabet Detection System
Abstract: Currently, gesture recognition for hands and sign language detection for human-computer interaction isthe main emphasis of computer vision and machine learning. The creation of systems that can identifygestures and use them to transmit data or control devices is one of the main goals. Specifically, handgestures entail dynamic hand movements that require explanations in both the spatial and temporaldomains, whereas hand postures reflect the static structure of the hand. The goal …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 29–35 Read article
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Combating Deepfakes and AI-Generated Misinformation: Towards a Digital Likeness and Integrity Framework for India
Abstract: The real struggle is to distinguish what is real and what is fake in the communication of the hyper-digitalized age, in which AI and generative technologies significantly impact the field of communication. The change in the creation and consumption of information has come with the deepfake AI-generated fake media that can imitate a human in voice, image, and video. However, on the one hand, generative models such as Generative Adversarial …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 1–20 Read article