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670 articles for “diagnosiable”
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Cancer Treatment by Radionuclide Therapy
Abstract: Recently, pretargeted nuclear imaging and radiotherapy have gained tremendous attention for diagnosis and treatment of cancer with nanomedicines. Radionuclide therapy (RNT) is one of the rapidly growing fields of nuclear medicine which works on the mechanism of delivery of cytotoxic levels of radiation to the disease sites, sparing the normal cells. RNT targets diseases at the cellular level rather than on a topographic anatomical level when compared to conventional external …
Published in Journal of Nuclear Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 4–7 Read article
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Nuclear Laser Techniques and the Use of Ion Exchange Resins for Radioactive Waste Removal
Abstract: The energy found in an atom's nucleus, or core, is referred to as nuclear energy. Electricity can be produced using nuclear energy, but it first needs to be released from the atom. A laser that has been nuclear pumped has been charged with energy from fission byproducts. In a nuclear reactor core, the lasing medium is housed in a tube lined with uranium-235 and exposed to strong neutron flux. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 29–32 Read article
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Fault Tolerant Inverter for BLDC Drives
Abstract: In this study, fault tolerant inverter for BLDC drives is used for aerospace application. In such application, the human intervention is limited. So, the fault tolerant control of BLDC motor is of great importance for its continuous operating capacity even under the faulty situation. Over voltage and over current phenomenon occur in system due to switching faults, so a fault isolation and system reconfiguration method is presented. This method can …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 3, 2018 · pp. 31–38 Read article
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DGA Analysis of Transformer Oil with Experimental Investigation: An Effective Tool of Condition Monitoring for Power Transformer
Abstract: Dissolved Gas Analysis (DGA) is usually performed for power transformer condition based maintenance activities. The DGA has become a very popular technique for the monitoring the overall health of a power transformer. It is possible to distinguish faults such as partial discharge, over-heating, and arcing in a great variety of oil filled power transformers. A number of samples must be taken over a period of time to discern trends and …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 2, 2015 · pp. 9–16 Read article
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Detecting Winding Movement by Fuzzy Logic for Frequency Response of Power Transformer
Abstract: Power transformers are basically one of the most efficient devices that are used in Power Plant or in any substation. Its maintenance is bit some tedious but has to be done to diagnose any severe fault that may damage the transformer. Sweep Frequency Response Analysis (SFRA) is used to detect any winding or core deformation in transformer that would arise during transportation, due to severe short circuits or due to …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 3, 2015 · pp. 25–34 Read article
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Artificial Intelligence-based Chatbot for Disease Prediction
Abstract: Nowadays leading a healthy lifestyle is very important. Sometimes it is even difficult to find proper medical consultation in unsocialized and remote areas. One such solution to these issues is the development of an Artificial Intelligence based Chatbot for Disease Prediction. A Chatbot is a software program that simulates human conversations, through AI’s Natural Language Processing (NLP) capability. A text-to-text chatbot for disease prediction can involve patients into an interactive …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 29–36 Read article
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Information Communication Technology in HealthCare
Abstract: Professionals involved in diagnosis, treatment, monitoring, pharmaceutical prescription, referral, information retrieval and transmission, documentation, and transactions might benefit from ICT in healthcare. The involvement of ICT in healthcare has a tremendous impact on improving the quality, accessibility, and efficacy of healthcare for all citizens. The use of information and communication technologies in a wide range of functions that have an impact on the health sector. Every country strives to improve …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 1, 2022 · pp. 21–25 Read article
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Review of Machine Technique for Prediction of Depression Using EEG Signal
Abstract: Depression is a prevalent mental health disorder that affects millions worldwide, often leading to significant personal and societal burdens. Traditional diagnostic methods for depression rely heavily on subjective assessments, which can be prone to bias and inconsistency. In recent years, there has been a growing interest in utilizing machine learning techniques to predict depression based onelectroencephalogram (EEG) signals, offering a promising avenue for more objective and reliable diagnosis. This review …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 23–29 Read article
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Detection of Eccentricity Fault for Induction Motor
Abstract: The study shows that 80% of faults are because of eccentricity in induction motors, advancing numerous research endeavors still gave to the eccentricity in these motors. In this paper, an asynchronous motor under static and dynamic eccentricities with various load levels is modeled utilizing using finite element method (FEM) as FEM is utilized as an intense numerical technique for analysis of defective induction motors. The simulation outcomes demonstrate that due …
Published in Trends in Electrical Engineering · Vol. 8, Issue 2, 2018 · pp. 19–32 Read article
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Research on the Field of Social Robotics and HRI
Abstract: One of the most fascinating trends in recent technology is “Social Robots”, born out of human intelligence. Soft Robots will soon become a vital organ of Human civilization. Social robots are robots that are designed in such a way that they can interact with other living organisms. The detailed study of interactions between a Social robotic system and humans is crucial in developing this technology. With the progress in this …
Published in Trends in Electrical Engineering · Vol. 11, Issue 1, 2021 · pp. 24–35 Read article
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Image Processing Techniques for Detecting and Classification of Leaf Diseases
Abstract: Plants are the way to make a living. From the factors of our daily life to breathing we are totally dependent on plants. Therefore, plant care must be proper. Plant diseases involve, of instance, algae, bacteria, and viruses. Several researchers have to classify plant diseases but it is time consuming to manually identify them. Image processing techniques are used to detect various diseases of the plant. There are several steps …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 2, 2021 · pp. 1–6 Read article
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Recognition of Thyroid Nodules Using Hierarchical Temporal Awareness Networking Scanning
Abstract: Contrast-enhanced ultrasonography (CEUS), a preferred imaging technique for thyroid nodule diagnosis, is able to reveal the vascular distribution within a thyroid nodule right away. With the aim of mining pathologically-related enhancing dynamics and creating predictions in one step without taking into account a native diagnostic dependency, a number of learning-based algorithms have recently been created. In clinics, separating benign from malignant nodules is always done before identifying pathological types. In …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 31–35 Read article
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Denoising of ECG Signal using Savitzky-Golay Filter
Abstract: Noise is character inherent. Any type of signal can be affected by noise at the time of acquisition. Signal noise can be generated from various conditions and it is difficult to avoid. ECG is a graphical structure which represents the functionality of the heart. Good quality of ECG signal will help physicians for better diagnosis. But in real situation ECG recordings are courted by noise and this noise should be …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 98–104 Read article
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Calculating SAR Distribution and RF Electromagnetic Field Due To MRI Coil at Human Model
Abstract: AbstractMRI (magnetic resonance imaging) is an effective method for diagnosis of diseases. The MRI system is made of some important units including RF (radio frequency) devices [1]. The RF coil is one of the important parts in the RF unit. During the imaging, the RF coil radiates EM (electromagnetic) pulse to the human body and in response receives the NMR (nuclear magnetic resonance) signals emitted from the nuclei, which constitutes …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 2, 2013 · pp. 1–8 Read article
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Classification of Pattern using Spline Function and Statistical Data Mining: Review Paper
Abstract: ABSTRACTMany people are affected by lung diseases. Respiratory diseases are curable in early detection. Spirometry is valuable for diagnosing specific lung disorders as well as detecting lung disease at an early stage. Spirometry is most widely used pulmonary function test that is essential to measure the volume of air exhaled from the fully inflated lung as a function of time. The output of spirometry is inthe form of graphs i.e., …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 37–42 Read article
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Generating Weights for Fuzzy Decision Making Mechanism to Diagnose Heart Disease
Abstract: AbstractHeart disease is one of the diseases spread around the world. It suddenly kills the human community. So use of fuzzy logic to diagnosis the heart disease is essential. So the study was conducted with the following components. They are fuzzification, fuzzy decision making mechanism and defuzzification. The crisp values are changed into fuzzy values by fuzzification. Fuzzy decision making mechanism is based on adaptive neuro fuzzy inference system which …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 7–13 Read article
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Pneumonia Detection Using Deep Learning–Convolutional Neural Network
Abstract: Pneumonia disease is associate in nursing infectious and deadly illness in metabolic process that is caused by microorganism, fungi, or a deadly disease that infects the human respiratory organ air sacs with the load choked with fluid or pus. Chest X-rays area unit the common methodology accustomed diagnose respiratory disorder and it wants a health worker to gauge the results of X-ray. The hard methodology of detection of the respiratory …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 9–16 Read article
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Convolutional Neural Network and its Architectures
Abstract: Convolutional neural network (CNN) is a type of artificial neural network (ANN) with multiple layers. From the past decades, it has been considered as a powerful classification technique as it can handle a huge amount of imagery data. It can be applied in the field of image recognition. The name CNN has been derived from the mathematical linear operation known as convolution which is performed between two matrices. CNN has …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 2, 2021 · pp. 6–14 Read article
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The Importance and Misconceptions of Artificial Intelligence in Industry and Academia
Abstract: Artificial Intelligence (AI) has been making remarkable advancements in various industries and academia. AI has been used by businesses to increase productivity, improve efficiency, and make factbased decisions. For example, AI is being used in finance for fraud detection, in healthcare for diagnosis and treatment planning, and in retail for personalized customer experiences. On the other hand, academia has been at the forefront of AI research and development, with a …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 40–44 Read article
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Prediction of Prostate Cancer Using Boosting Technique
Abstract: There are many diseases that are associated with humans, but some diseases might be associated with only males or only females. This paper shows and discusses the disorder that is associated mainly in men. Prostate cancer is associated with the example of illness. Usually when the damaged cells develop in the prostate gland occurs prostate cancer occurs. These cells increase uncontrollably. Reports given by the researchers show that this is …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 1–9 Read article