Intelligent Breast Abnormality Framework for Detection and Evaluation of Breast Abnormal Parameters

2022 International Conference on Edge Computing and Applications (ICECAA), Journal Year: 2022, Volume and Issue: unknown, P. 1503 - 1508

Published: Oct. 13, 2022

Unlike the healthy cells in breast tissue, cancerous are unwelcome and have strange properties. In both sexes, this will quickly expand infiltrate adjacent leading to formation of a tumour. Using Intelligent-Breast Abnormality Detection (I-BAD) framework, many cancer parameters evaluated article. It has already been shown that some indicators may be used for early detection cancer. There is also discussion instruments strategies facilitate monitoring selected health metrics. Classification methods use machine learning store analyse data discussed. The suggested I-BAD framework's process then visually clean drawings.

Language: Английский

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Artificial Intelligence based Health Monitoring System on IoTH platform

Published: Aug. 23, 2023

In order to fight the pandemic situations like COVID-19, researchers are working towards find an early vaccination and developing a multidisciplinary strategy that explores most sophisticated Internet of Things (IoT) technologies. By utilizing IoT-based industrial manufacturing breathing units, masks, other medical equipment, patients might either be observed in hospitals or separated at home secured manner by utilising these items; alternatively, new methods passive ventilation could devised. It is non-contact, alcohol-based hand sanitizer dispenser used number environments including hospitals, work places, companies, schools, educational institutions. An automated distributing machine system distributes automatically. When compared liquid soap solid soap, alcohol primarily solvent also serves as highly effective disinfectant. Additionally, since volatile vaporises immediately after application hands, it does not need water washed away. has additionally been demonstrated concentration hands more than 70% may able destroy Corona virus. infrared sensor detect when placed close proximity it. This microcontroller estimate distance between sensor, which ultimately results pump being activated dispense sanitizer. keep track two objects, ultrasonic sensors used; becoming too near, buzzer will ring warn user. The internal body temperature measured using patient's health evaluated with assistance well pulse sensor. Finally, few data points sent cloud evaluation complete.

Language: Английский

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Design of IoT based Rural Health Helper using Natural Language Processing

Published: July 6, 2023

A proposed system that utilizes machine learning and natural language processing aims to facilitate communication among individuals who speak different languages. Specifically, doctors can use a prototype of this access information from database about the health their patients. The paper suggests Natural Language Processing (NLP) be used minimize delays during online consultations between NLP plays crucial role in smart healthcare by textual data enabling human-machine communication. Through algorithms, teach computers comprehend human language, including speech text, extract useful unstructured data. This overcome barriers, allowing patients communicate native while respond English or other languages, better user experience for everyone.

Language: Английский

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IoT Wearable Breast Temperature Assessment System

2022 6th International Conference on Computing Methodologies and Communication (ICCMC), Journal Year: 2023, Volume and Issue: unknown, P. 1236 - 1241

Published: Feb. 23, 2023

Cancer is an undesirable cell with odd characteristic varies from normal of the breast tissue. This will develop swiftly and infiltrate surrounding tissue forms as tumor which happens in both men women. After lung cancer, cancer has become largest cause malignancies women raise mortality rate. In this article, Sensor enabled wearable device framework to detect temperature abnormalities suggested. Early work on sensors supported monitor presented. The concept a garment sensor-enabled patches also considered. Detailed architecture proposed explained, implementation specifics are examined. Later statistical highlights help process sensor-generated data explained. performance examined by taking abnormal patient dataset findings described using attractive figure representations.

Language: Английский

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A Novel IoT Framework and Device Architecture for Efficient Smart city Implementation

2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), Journal Year: 2023, Volume and Issue: unknown, P. 420 - 426

Published: April 11, 2023

Internet of Things (IoT) apps will provide fast and effortless management smart cities. This networked service is dependent on the Service Provider (ISP). framework reduces physical human interaction in banking, railway counters, water power so on. The IoT based applications makes cities more sustainable. Recently, Indian government focused supportive towards building a reliable for developing innovative products, businesses that rely mostly cyberspace. study discusses about advantages, disadvantages future possibilities importance development India's cities, as well how widespread adoption may swiftly disrupt people's everyday routines are also discussed.

Language: Английский

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Novel Predictive Control and Monitoring System based on IoT for Evaluating Industrial Safety Measures

International Journal of Electrical and Electronics Research, Journal Year: 2022, Volume and Issue: 10(4), P. 1050 - 1057

Published: Dec. 25, 2022

In this paper, the Accident Reduction Model (ARM) technique has been used to analyze different critical criteria in various industries. This ARM is determine conclusions of decision-making process. Valid data obtained structure IoT with proper and consistent useful information. The network address utility allows efficient sensor data. necessary configuration procedure effectively monitors relevant boundary values. Finally, we have ensured that system will be able provide dynamic performance an IoT-based use low-cost estimates lower execution time.

Language: Английский

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A Novel Method of Identification of Delirium in Patients from Electronic Health Records Using Machine Learning

Published: July 14, 2023

In most cases, the mental impairment caused by delirium may be treated and eventually reversed. Lack of concentration, disorientation, incoherent thought, fluctuating degrees awareness (consciousness) are all symptoms. Delirium, an acute neuropsychiatric disorder characterised inattention generalised cognitive impairment, is common, hazardous, generally linked with poor results. Patients at increased risk for adverse outcomes throughout their time in critical care unit. It requires medical competence to diagnose delirium. Those developing should identified as soon possible. Once a diagnosis has been made, treatment process lengthy include several groups working together. This paper's goal show how model built using Electronic Health Record data employing Machine Learning technique.

Language: Английский

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Computer vision based healthcare system for identification of diabetes & its types using AI

Measurement Sensors, Journal Year: 2023, Volume and Issue: 27, P. 100751 - 100751

Published: March 22, 2023

Diabetes mellitus, often known as diabetes, is an endocrine disorder that has a wide global impact today. Here requirement for effective model able prognoses diabetes and its types with more accurateness early. Given the breadth depth of existing studies, there pressing need accurate timely illness forecasting in healthcare sector. Current circumstances creation design systems are quicker to respond, accurate, durable, generalizable. For increasing prediction best effectiveness innovative Artificial Intelligence Machine Learning Model proposed. This predicts class using symptoms located into data-set which having row one rule system & this understand compile feature.

Language: Английский

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Performance Analysis of Energy Efficiency and Security Solutions of Internet of Things Protocols

International Journal of Electrical and Electronics Research, Journal Year: 2023, Volume and Issue: 11(2), P. 442 - 450

Published: June 26, 2023

The scientific and business communities are showing considerable interest in wireless sensor networks (WSN). availability of low-cost, small-scale components like CPUs, radios, sensors, which often combined into a single chip, is crucial. Parallel to the evolution WSNs, concepts IoT have been evolving recent years. Wireless communication technologies may play significant role implementation IoT, despite fact that does not need or require any particular technology for communication. WSN assisted can drive several applications many industries. proposed research explores possibility enhancing energy efficiency WSN-assisted IoTN by balancing various challenging network performance metrics. base station's current placement inside sensing field predetermined preexisting routing algorithms. Our study examines impact station outside within prescribed domains on consumption longevity. In addition, methods transferring data from distributed source while minimizing investigated. this preliminary study, we focus developing an algorithm WSN-Assisted balance factors such as hop count, distance, residual energy. To further optimize route between local cluster heads station, novel architecture built based Ant-optimization model, uses centroid among clusters. An open-source Network Simulator (NS-3) used model behaviour protocols compare them comparable existing protocols. All suggested same fundamentals creating networks, however they vary terms routing, optimization, depending development effort under consideration.

Language: Английский

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Enhanced Diagnostic Methods for Identifying Anomalies in Imaging of Skin Lesions

International Journal of Electrical and Electronics Research, Journal Year: 2022, Volume and Issue: 10(4), P. 1077 - 1085

Published: Dec. 25, 2022

There are several types of skin diseases, to protect and keep them healthy from these ailments; an effective efficient diagnosis is required. One the domains used by medical experts diagnose severe class disease imaging. It non-invasive way in which screen abnormal region performs first then dermatologist examines subcutaneous structure forecasts severity lesion. lesions cancer, categorized as melanoma non-melanoma. Most research has been performed on yet non-melanoma cancer still untouched area. The cure rate high, when diagnosed at earlier stage. proposed approach applicable gray scale or single channel images resultant output binary images, this can be compared easily with available mask benchmark dataset. In addition this, APCNN proposal minimizes requirement post processing step for lesion boundary detection.

Language: Английский

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