Search Results - "Karan Aggarwal"

Review of ML and AutoML Solutions to Forecast Time-Series Data by Alsharef, Ahmad, Aggarwal, Karan, Sonia, Kumar, Manoj, Mishra, Ashutosh

“…Time-series forecasting is a significant discipline of data modeling where past observations of the same variable are analyzed to predict the future values of…”
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A diagnostic testing for people with appendicitis using machine learning techniques by Mijwil, Maad M., Aggarwal, Karan

“…Appendicitis is a common disease that occurs particularly often in childhood and adolescence. The accurate diagnosis of acute appendicitis is the most…”
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Has the Future Started? The Current Growth of Artificial Intelligence, Machine Learning, and Deep Learning by Karan Aggarwal, Maad M. Mijwil, Sonia, Abdel-Hameed Al-Mistarehi, Safwan Alomari, Murat Gök, Anas M. Zein Alaabdin, Safaa H. Abdulrhman

“…In the modern era, many terms related to artificial intelligence, machine learning, and deep learning are widely used in domains such as business, healthcare,…”
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Energy-efficient polyglot persistence database live migration among heterogeneous clouds by Kaur, Kiranbir, Bharany, Salil, Badotra, Sumit, Aggarwal, Karan, Nayyar, Anand, Sharma, Sandeep

“…Cloud computing is seen as a more promising technology than any other traditional information technology computing paradigm in today’s world. It essentially…”
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Correction to: Review of ML and AutoML Solutions to Forecast Time-Series Data by Alsharef, Ahmad, Aggarwal, Karan, Sonia, Kumar, Manoj, Mishra, Ashutosh

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Cochlear Schwannoma: A Usual Pathology in an Unusual Site by Aggarwal, Karan, Kairo, Arvind Kumar, Bhalla, Ashu Seith, Kumar, Rakesh

“…Intra-labyrinthine schwannomas are rare. We present a case of a 50-year-old male with non-serviceable unilateral sensorineural hearing loss and tinnitus…”
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Detection of cirrhosis through ultrasound imaging by intensity difference technique by Aggarwal, Karan, Bhamrah, Manjit Singh, Ryait, Hardeep Singh

“…Cirrhosis is a liver disease that is considered to be among the most common diseases in healthcare. Due to its non-invasive nature, ultrasound (US) imaging is…”
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Experience with Systemic Bevacizumab in Advanced Juvenile Recurrent Respiratory Papillomatosis by Aggarwal, Karan, Kumar, Rajeev, Kumari, Jyoti, Kumar, Arvind, Jat, Kana Ram, Kabra, S. K., Bhalla, Ashu Seith, Kumar, Rakesh

“…Vascular Endothelial Growth Factor has been demonstrated in squamous papillomas of Recurrent Respiratory Papillomatosis patients. This case series aimed at…”
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Percutaneous trans-tracheal endoscope assisted excision of thoracic tracheal tumour in a four-year-old child in an emergency setting by Aggarwal, Karan, Panda, Smriti, Sikka, Kapil, Singh, Chirom Amit, Chandran, Aswin

“…Patients with lower thoracic tracheal obstruction arising as a result of neoplasms most commonly present in the hospital emergency. These pathologies are rare…”
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Invasive Mucormycosis in a Case of Aluminium Phosphide Poisoning by Gupta, Nitin, Singh, Gagandeep, Aggarwal, Karan, Thakar, Alok, Xess, Immaculata

“…Mucormycosis is a rapidly progressive disease with high mortality reported mostly in immunocompromised individuals. We report a case of Rhino-orbital…”
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Scedosporium apiospermum as a rare cause of fungal rhinosinusitis by Baidya, Ankita, Gupta, Nitin, Basu, Ayan, Kodan, Parul, Aggarwal, Karan, Singh, Chirom, Singh, Gagandeep, Soneja, Manish, Xess, Immaculata

“…Fungal rhinosinusitis is not very uncommon in diabetic patients, but Scedosporium apiospermum as a cause of this infection is rare. We report a case of fungal…”
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Nasal Endoscopic Trans-Sphenoidal Optic Nerve Sheath Fenestration for Intractable Intracranial Hypertension with Papilloedema-Optimism with Caution by Thakar, Alok, Aggarwal, Karan

“…[2],[3] Fenestration of the nerve sheath allows for egress of CSF, leading to release of the increased pressure at the optic nerve head and consequent relief…”
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Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic by Mehta, Rachna, Aggarwal, Karan, Koundal, Deepika, Alhudhaif, Adi, Polat, Kemal

“…The unexpected blast of the COVID has been found everywhere in the world, and everyone has been shocked unusually. In this critical situation, the number of…”
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Models for Limited Labeled Time Series Data with Applications in Sleep Science by Aggarwal, Karan

“…Time series are encountered universally in any natural or man-made phenomenon. Time-series analysis has applications in critical domains like healthcare,…”
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An Automated Toxicity Classification on Social Media Using LSTM and Word Embedding by Alsharef, Ahmad, Aggarwal, Karan, Sonia, Koundal, Deepika, Alyami, Hashem, Ameyed, Darine

“…The automated identification of toxicity in texts is a crucial area in text analysis since the social media world is replete with unfiltered content that…”
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Detecting duplicate bug reports with software engineering domain knowledge by Aggarwal, Karan, Timbers, Finbarr, Rutgers, Tanner, Hindle, Abram, Stroulia, Eleni, Greiner, Russell

“…Bug deduplication, ie, recognizing bug reports that refer to the same problem, is a challenging task in the software‐engineering life cycle. Researchers have…”
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Isolated Laryngeal Leishmaniasis: A Diagnostic Dilemma by Aggarwal, Karan, Kumar, Rajeev, Bhardwaj, Nishu, Jat, Bhinyaram, Kumar, Rakesh

“…Isolated laryngeal Leishmaniasis is a rare entity in the Indian subcontinent. We describe a case of a 45 year old male with hoarseness and noisy breathing…”
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The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization by Aggarwal, Karan, Bhamrah, Manjit Singh, Ryait, Hardeep Singh

“…Liver cirrhosis is considered as one of the most common diseases in healthcare. The widely accepted technology for the diagnosis of liver cirrhosis is via…”
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Embarrassingly Simple MixUp for Time-series by Aggarwal, Karan, Srivastava, Jaideep

“…Labeling time series data is an expensive task because of domain expertise and dynamic nature of the data. Hence, we often have to deal with limited labeled…”
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Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning by Aggarwal, Karan, Srivastava, Jaideep

“…Missing data in time series is a challenging issue affecting time series analysis. Missing data occurs due to problems like data drops or sensor…”
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