Search Results - "Pati, Abhilash"

Performance assessment of hybrid machine learning approaches for breast cancer and recurrence prediction by Pati, Abhilash, Panigrahi, Amrutanshu, Parhi, Manoranjan, Giri, Jayant, Qin, Hong, Mallik, Saurav, Pattanayak, Sambit Ranjan, Agrawal, Umang Kumar

“…Breast cancer is a major health concern for women everywhere and a major killer of women. Malignant tumors may be distinguished from benign ones, allowing for…”
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Simulating Fog of Medical Things: Research Challenges and Opportunities by Pati, Abhilash, Panigrahi, Amrutanshu, Parhi, Manoranjan, Kumar Pattanayak, Binod, Sahu, Bibhuprasad, Kant, Shashi

“…Technology has a significant impact on medical applications at the current moment. Contemporary computers are capable of processing a lot of patient medical…”
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En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis by Panigrahi, Amrutanshu, Pati, Abhilash, Sahu, Bibhuprasad, Das, Manmath Nath, Nayak, Debasish Swapnesh Kumar, Sahoo, Ghanashyam, Kant, Shashi

“…According to the WHO, Cancer is a prominent cause of mortality worldwide, accounting for ~10 million fatalities at the end of 2020. The most common types of…”
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Breast Cancer Diagnosis Based on IoT and Deep Transfer Learning Enabled by Fog Computing by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar, Singh, Debabrata, Singh, Vijendra, Kadry, Seifedine, Nam, Yunyoung, Kang, Byeong-Gwon

“…Across all countries, both developing and developed, women face the greatest risk of breast cancer. Patients who have their breast cancer diagnosed and staged…”
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CanDiag: Fog Empowered Transfer Deep Learning Based Approach for Cancer Diagnosis by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar, Sahu, Bibhuprasad, Khasim, Syed

“…Breast cancer poses the greatest long-term health risk to women worldwide, in both industrialized and developing nations. Early detection of breast cancer…”
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Fuzzy Markov model for the reliability analysis of hybrid microgrids by Kunjabihari Swain, Murthy Cherukuri, Indu Sekhar Samanta, Abhilash Pati, Jayant Giri, Jayant Giri, Amrutanshu Panigrahi, Hong Qin, Saurav Mallik

“…This research presents a process for analyzing a hybrid microgrid's dependability using a fuzzy Markov model. The research initiated an analysis of the various…”
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An IoT-Fog-Cloud Integrated Framework for Real-Time Remote Cardiovascular Disease Diagnosis by Pati, Abhilash, Parhi, Manoranjan, Alnabhan, Mohammad, Pattanayak, Binod Kumar, Habboush, Ahmad Khader, Al Nawayseh, Mohammad K

“…Recently, it has proven difficult to make an immediate remote diagnosis of any coronary illness, including heart disease, diabetes, etc. The drawbacks of cloud…”
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Weighted Bayesian Belief Network for diabetics: a predictive model by Kharya, Shweta, Soni, Sunita, Pati, Abhilash, Panigrahi, Amrutanshu, Giri, Jayant, Qin, Hong, Mallik, Saurav, Nayak, Debasish Swapnesh Kumar, Swarnkar, Tripti

“…Diabetes is an enduring metabolic condition identified by heightened blood sugar levels stemming from insufficient production of insulin or ineffective…”
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IFCnCov: An IoT‐based smart diagnostic architecture for COVID‐19 by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar, Pati, Bibudhendu

“…Abstract Performing a coronary disease diagnosis remotely is challenging now‐a‐days. COVID‐19 is a worldwide pandemic, and methods for detecting COVID‐19 are…”
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Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models by Sahoo, Ghanashyam, Nayak, Ajit Kumar, Tripathy, Pradyumna Kumar, Panigrahi, Amrutanshu, Pati, Abhilash, Sahu, Bibhuprasad, Mahanty, Chandrakanta, Mallik, Saurav

“…Relapse and metastasis occur in 30–40% of breast cancer patients, even after targeted treatments like trastuzumab for HER2-positive breast cancer. Accurate…”
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IABCP: an Integrated Approach for Breast Cancer Prediction by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar

“…Breast cancer detection and prognosis may result in better medication being provided early, lowering the number of deaths caused by the illness each year and…”
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An ensemble approach to predict acute appendicitis by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar

“…There is currently no international treaty on how to treat human appendicitis. Given the scarcity of data-driven studies on this species and the lack of clear…”
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Hybrid Multiple Filter Embedded Political Optimizer for Feature Selection by Sahu, Bibhuprasad, Panigrahi, Amrutanshu, Rout, Saroja Kumar, Pati, Abhilash

“…DNA microarray data analysis is notorious because it contains a large number of characteristics, asymmetrical class distribution, and it is restricted with…”
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Enhanced Seizure Detection through a Robust Denoising Autoencoder with Attention Mechanism by Samanta, Indu Sekhar, Pattanaik, Swarupa, Swain, Kunjabihari, Pati, Abhilash, Panigrahi, Amrutanshu, Sahu, Bibhuprasad

“…Abnormal brain activity is a frequent neurological disease known as epileptic seizures. The application of machine learning to automate seizure detection has…”
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IDMS: An Integrated Decision Making System for Heart Disease Prediction by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar

“…Heart Disease, one of the deadliest human diseases worldwide, should be properly diagnosed in time and treatments should be carried out accordingly. To predict…”
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Optimizing DFIG Wind Farms: Advanced Controls and Energy Storage Integration by Das, Sachin, Samanta, Indu Sekhar, Dash, Rudranarayan, Pati, Abhilash, Kundu, Subhasree, Panigrahi, Amrutanshu

“…This research study introduces a new way to optimize wind farms that use Doubly Fed Induction Generators (DFIGs) by combining energy storage systems with…”
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Empirical Study on the Dynamic Load Balancing Approach in Cloud Computing by Tripathy, Jyotsnarani, Das, Manmath Nath, Panigrahi, Amrutanshu, Pati, Abhilash, Sahoo, Ghanashyam, Dash, Manoranjan

“…Computing in the cloud has recently emerged as an emerging front-end technology. It delivers the primary attention for many different marketplaces and…”
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A Comparative Analysis of Diabetes Prediction Using Machine Learning and Deep Learning Algorithms in Healthcare by Tripathy, Nrusingha, Moharana, Bhimasen, Balabantaray, Sidhanta Kumar, Nayak, Subrat Kumar, Pati, Abhilash, Panigrahi, Amrutanshu

“…Hyperglycemia that persists is a concern with diabetes mellitus. As a result, there may be several complications. According to current morbidity rates, 642…”
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Novel AI-based Prediction Approach for Improving Patient Treatment in Healthcare by Thatikonda, Ramya, Vaddadi, Srinivas Aditya, Dash, Bibhu, Panigrahi, Amrutanshu, Pati, Abhilash, Sahu, Bibhuprasad

“…The healthcare industry and e-health have benefited greatly from the proliferation of automated methods available in today's technological landscape. While…”
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Enhancing the Heart Diseases Prediction Based on a Novel Hybrid Model by Pati, Abhilash, Panigrahi, Amrutanshu, Parhi, Manoranjan, Panda, Niranjan, Agrawal, Umang Kumar, Pattanayak, Sambit Ranjan

“…Predicting the first signs of heart disease is essential for timely diagnosis and treatment, as this condition is a significant cause of death globally…”
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