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K

Krishnaraj Chadaga

manipal academy of higher education

23H指数
91论文数
1.4K被引数
收录论文 29
发表时间
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An explainable artificial intelligence framework for ischemic heart disease prediction using enhanced squirrel search feature selection一种用于缺血性心脏病预测的可解释人工智能框架，采用增强型松鼠搜索特征选择方法
errScientific Reports
IF3.9
err2026-04-01
err0
errOAAI
errD. Cenitta; N. Arul; R. Vijaya Arjunan; Krishnaraj Chadaga; J. Andrew
err分享
err收藏
Explainable machine learning models for predicting current and voltage in photovoltaic systems
errEnergy Conversion and Management: X
IF10.9
err2026-01-24
err0
errOAAI
errAditya Dinakar; D. Cenitta; R. Vijaya Arjunan; Venkatesh Bhandage; Krishnaraj Chadaga
err分享
err收藏
A machine learning framework to predict the severity and management of pediatric appendicitis using clinical markers and five explainable techniques一种基于临床标志物和五种可解释技术的机器学习框架，用于预测儿童阑尾炎的严重程度和管理方案。
errTelematics and Informatics Reports
IF4.7
err2025-12-01
err0
errOAAI
errManohar, Pavanya; Palkar, Anisha; Sampathila, Niranjana; Bhandage, Venkatesh; Chadaga, Krishnaraj
err分享
err收藏
Smart health monitoring: an interactive Raspberry Pi-based system for managing diabetes and hypertension in children智能健康监测：一个基于Raspberry Pi的交互式系统，用于管理儿童糖尿病和高血压
errJournal of Cloud Computing
IF0
err2025-11-25
err0
errOAAI
errRuppikha Sree Shankar; Tanuja Shailesh; Vijaya Arjunan R; Krishnaraj Chadaga; D. Cenitta
err分享
err收藏
A unified model of explainable regression and AES-based data security for soybean yield prediction一种可解释回归与基于AES的数据安全相统一的模型，用于大豆产量预测
errSmart Agricultural Technology
IF5.7
err2025-10-08
err0
errOAAI
errOmkar Prabhu; Snehal Samanth; Krishnaraj Chadaga
err分享
err收藏
An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients (vol 14, 24454, 2024)
errSCIENTIFIC REPORTS
IF3.9
err2025-01-22
err0
errOAAI
errChadaga, Krishnaraj; Khanna, Varada; Prabhu, Srikanth; Sampathila, Niranjana; Chadaga, Rajagopala; Umakanth, Shashikiran; Bhat, Devadas; Swathi, K. S.; Kamath, Radhika
err分享
err收藏
Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes使用机器学习和可解释的人工智能利用血液属性从再生障碍性贫血中鉴别诊断疾病缺铁性贫血
errSCIENTIFIC REPORTS
IF3.9
err2025-01-02
err0
errOAAI
errDarshan, B. S. Dhruva; Sampathila, Niranjana; Bairy, G. Muralidhar; Prabhu, Srikanth; Belurkar, Sushma; Chadaga, Krishnaraj; Nandish, S.
err分享
err收藏
Ischemic Heart Disease Prognosis: A Hybrid Residual Attention-Enhanced LSTM Model
errIEEE ACCESS
IF3.6
err2025-01-01
err0
errOAAI
errCenitta, D.; Arjunan, R. Vijaya; Paramasivam, Ganesh; Arul, N.; Palkar, Anisha; Chadaga, Krishnaraj
err分享
err收藏
Efficient Romanian Dialect Identification in Low-Resource Conditions Using Transfer-Learning and Metric-Learning低资源条件下使用迁移学习和度量学习的高效罗马尼亚方言识别
errIEEE Access
IF3.6
err2025-01-01
err0
errOAAI
errAardra H; Ananya Angra; H. Muralikrishna; Krishnaraj Chadaga; Dileep Aroor Dinesh; Prashanth Kannadaguli
err分享
err收藏
A Model of the First Trimester Evaluation of Foetal Movements and Their Outcomes via Explainable Artificial Intelligence: A Multicentric Study
errHEALTHCARE TECHNOLOGY LETTERS
IF3.3
err2025-01-01
err1
errOAAI
errPavanya, Manohar; Chadaga, Krishnaraj; Vennila, J.; Vasudeva, Akhila; Rao, Bhamini Krishna; Bhat, Shashikala K.
err分享
err收藏
Explainable machine learning methods to predict postpartum depression risk
errSYSTEMS SCIENCE & CONTROL ENGINEERING
IF4.4
err2024-11-13
err0
errOAAI
errShivaprasad, Susmita; Chadaga, Krishnaraj; Sampathila, Niranjana; Prabhu, Srikanth; Chadaga, P. Rajagopala; Swathi, K. S.
err分享
err收藏
An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers具有可解释的人工智能的集成机器学习框架，用于预测考虑到血液学标志物的血红蛋白贫血
errSYSTEMS SCIENCE & CONTROL ENGINEERING
IF4.4
err2024-10-29
err0
errOAAI
errDhruva Darshan, B. S.; Sharma, Punit; Chadaga, Krishnaraj; Sampathila, Niranjana; Bairy, G. Muralidhar; Belurkar, Sushma; Prabhu, Srikanth; Swathi, K. S.
err分享
err收藏
An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients
errSCIENTIFIC REPORTS
IF3.9
err2024-10-18
err3
errOAAI
errChadaga, Krishnaraj; Khanna, Varada; Prabhu, Srikanth; Sampathila, Niranjana; Chadaga, Rajagopala; Umakanth, Shashikiran; Bhat, Devadas; Swathi, K. S.; Kamath, Radhika
err分享
err收藏
An interpretable schizophrenia diagnosis framework using machine learning and explainable artificial intelligence使用机器学习和可解释的人工智能的可解释的精神分裂症诊断框架
errSYSTEMS SCIENCE & CONTROL ENGINEERING
IF4.4
err2024-06-27
err1
errOAAI
errShivaprasad, Samhita; Chadaga, Krishnaraj; Dias, Cifha Crecil; Sampathila, Niranjana; Prabhu, Srikanth
err分享
err收藏
Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence利用机器学习和可解释的人工智能从血液学标志物预测急性心肌梗死
errSYSTEMS SCIENCE & CONTROL ENGINEERING
IF4.4
err2024-03-26
err2
errOAAI
errBhat, Tejas Kadengodlu; Chadaga, Krishnaraj; Sampathila, Niranjana; Swathi, K. S.; Chadaga, Rajagopala; Umakanth, Shashikiran; Prabhu, Srikanth
err分享
err收藏
IoT-based greenhouse technologies for enhanced crop production: a comprehensive study of monitoring, control, and communication techniques基于物联网的温室技术提高作物产量: 监测、控制和通信技术的综合研究
errSYSTEMS SCIENCE & CONTROL ENGINEERING
IF4.4
err2024-01-30
err7
errOAAI
errSingh, Nagendra; Sharma, Akhilesh Kumar; Sarkar, Indranil; Prabhu, Srikanth; Chadaga, Krishnaraj
err分享
err收藏
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
errSCIENTIFIC REPORTS
IF3.9
err2024-01-20
err21
errOAAI
errChadaga, Krishnaraj; Prabhu, Srikanth; Sampathila, Niranjana; Chadaga, Rajagopala; Umakanth, Shashikiran; Bhat, Devadas; Kumar, G. S. Shashi
err分享
err收藏
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy
errINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
IF2.5
err2024-01-08
err2
errOAAI
errDsilva, Liora Rosvin; Tantri, Shivani Harish; Sampathila, Niranjana; Mayrose, Hilda; Bairy, G. Muralidhar; Belurkar, Sushma; Saravu, Kavitha; Chadaga, Krishnaraj; Hafeez-Baig, Abdul
err分享
err收藏
An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas轻度新型冠状病毒肺炎与其他类似流感之间鉴别诊断疾病的可解释决策支持框架
errIEEE ACCESS
IF3.6
err2024-01-01
err2
errOAAI
errChadaga, Krishnaraj; Prabhu, Srikanth; Sampathila, Niranjana; Chadaga, Rajagopala; Umakanth, Shashikiran
err分享
err收藏
Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errBhandage, Venkatesh; Prabhu, Srikanth; Hadimani, Balachandra S.; Chadaga, Krishnaraj; Sampathila, Niranjana; Shetty, Sucharitha
err分享
err收藏

研究方向

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合作学者
合作期刊
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