Search Results - "Verma, Amar"

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    Delayed haemolysis after treatment with intravenous artesunate in patients with severe malaria in India by Savargaonkar, Deepali, Das, Manoj Kumar, Verma, Amar, Mitra, Jeevan K, Yadav, C P, Srivastava, Bina, Anvikar, Anupkumar R, Valecha, Neena

    Published in Malaria journal (22-01-2020)
    “…Parenteral artesunate is the treatment of choice for severe malaria. It is safe, efficacious and well tolerated anti-malarial. However, delayed haemolysis has…”
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    Journal Article
  2. 2

    Differentiating Chilaiditi signs from Chilaiditi syndrome by Shukla, Ankit, Bharti, Ramesh, Verma, Amar, Chaudhary, Rajesh

    “…Chilaiditi is an extremely rare anatomical condition, which may present asymptomatically or symptomatically with or without complications. Differentiation…”
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    Journal Article
  3. 3

    Advanced Machine Learning Detection using UAV Motion Tracking and Control by Bala, Kiran, Verma, Amar S.

    “…Drones, or unmanned aerial vehicles (UAVs), have become more commonplace thanks to the booming commercial UAV sector. The potential for these devices to do…”
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    Conference Proceeding
  4. 4

    Accurate Selection of proper network system and concern Cloud Services through computing by Verma, Amar S., Kumar, Rajat

    “…The significant role that networking plays in cloud service provisioning necessitates federated selection of network and cloud services in order to offer the…”
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    Conference Proceeding
  5. 5

    K-Nearest Neighbors and Grid Search CV Based Real Time Fault Monitoring System for Industries by Ranjan, G S K, Kumar Verma, Amar, Radhika, Sudha

    “…Fault detection in a machine at earlier stage can prevent severe damage and loss to the industries. Fault detection techniques are broadly classified into…”
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    Conference Proceeding
  6. 6

    Multi-Level Stator Winding Failure Analysis on the Insulation Material for Industrial Induction Motor by Verma, Amar Kumar, Radhika, Sudha

    Published in Experimental techniques (Westport, Conn.) (01-06-2022)
    “…Multi-level stator winding failure investigation on the insulation material for industrial induction motor at its incipient stage can achieve tremendous energy…”
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    Journal Article
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    An efficient neural-network model for real-time fault detection in industrial machine by Verma, Amar Kumar, Nagpal, Shivika, Desai, Aditya, Sudha, Radhika

    Published in Neural computing & applications (01-02-2021)
    “…Induction machines have extensive demand in industries as they are used for large-scale production and, therefore, vulnerable to both electrical and mechanical…”
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    Journal Article
  10. 10

    Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing by Verma, Amar Kumar, Vamsi, Inturi, Saurabh, Prerna, Sudha, Radhika, GR, Sabareesh, S, Rajkumar

    Published in Expert systems with applications (15-12-2021)
    “…This paper proposes a wavelet and artificial intelligence-enabled rapid and efficient testing procedure for patients with Severe Acute Respiratory Coronavirus…”
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    Journal Article
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    A Non-Radiative Wireless Power Transfer System for Medical Implant Deployment: An Experimental Validation by Verma, Amar Kumar, Kanakasabapathy, P., Sudha, Radhika

    Published in Wireless personal communications (01-06-2024)
    “…Wireless Power Transfer (WPT) systems employing magnetic resonance technology offer a compelling solution for providing seamless power delivery in scenarios…”
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    Journal Article
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    Automatic Condition Monitoring of Industrial Machines Using FSA-Based Hall-Effect Transducer by Verma, Amar Kumar, Akkulu, Pragnya, Padmanabhan, Shravvan V., Radhika, Sudha

    Published in IEEE sensors journal (15-01-2021)
    “…A reliable and swift real-time condition monitoring for an industrial machine is a need of the hour when dealing with critical uncontrollable machine failures…”
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    Journal Article
  14. 14

    Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing by Verma, Amar Kumar, Vamsi, Inturi, Saurabh, Prerna, Sudha, Radhika, G.R., Sabareesh, S., Rajkumar

    Published in Expert systems with applications (15-12-2021)
    “…This paper proposes a wavelet and artificial intelligence-enabled rapid and efficient testing procedure for patients with Severe Acute Respiratory Coronavirus…”
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    Journal Article
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    Development of an AI-based FSA for real-time condition monitoring for industrial machine by Verma, Amar Kumar, Raval, Pallav Devang, Rajagopalan, Neha, Khariya, Vaishnavi, Sudha, Radhika

    Published in Neural computing & applications (01-06-2022)
    “…Automated continuous condition monitoring of industrial electrical machines to identify internal faults has become one of the critical research areas for the…”
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    Journal Article
  17. 17

    Generalized Secondary Peritonitis in a Teaching Hospital: a Clinical Profile by Kumar, Raj, Bharti, Ramesh, Verma, Amar, Chaudhary, Rajesh, Sharma, Anjali, Bhatia, Ragini

    Published in SN comprehensive clinical medicine (01-08-2020)
    “…Inflammation of the peritoneum and peritoneal cavity, usually caused by a localized or generalized infection, is called peritonitis. The common causes of…”
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    Journal Article
  18. 18

    Analysis of Relationship between HbA2 levels and Iron Deficiency in Beta Thalessemia Trait by Lal, Vanita, Prasad, Chandrahas, Verma, Amar

    Published in Indian journal of clinical biochemistry (01-12-2014)
    “…Beta-thalassemia is of public health importance in many parts of the world. Screening for [beta]-thalassemia trait (BTT) is necessary for family counseling…”
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    Journal Article
  19. 19

    Giant Condyloma Acuminatum: A Surgical Riddle by Ankit Shukla, Ramesh Bharti, Amar Verma, Rajesh Chaudhry, Rakesh B Anand

    Published in Iranian journal of colorectal research (01-09-2016)
    “…Giant condyloma acuminatum (GCA) commonly known as Buschke-Lowenstein tumor (BLT) is a rare sexually transmitted disease,which is always preceded by condyloma…”
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    Journal Article
  20. 20

    A reliable framework for predicting wind turbine failures utilising SCADA and Alarm data by Verma, Amar Kumar, Fatima, Shahab, Panigrahi, Bijaya Ketan

    “…Identifying wind turbine failures is vital for assuring the efficiency and reliability of wind farms. SCADA systems supply machine health data that can be used…”
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    Conference Proceeding