Publications by authors named "G M Kishore"

Benign tumors of larynx are broadly classified as epithelial and non-epithelial. The management option depends on the tumor characteristics such as size, location and the extent of the tumor. The treatment opted should be able to remove the tumor in toto without compromising the laryngeal function.

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Knowledge of the stage-discharge rating curve is useful in designing and planning flood warnings; thus, developing a reliable stage-discharge rating curve is a fundamental and crucial component of water resource system engineering. Since the continuous measurement is often impossible, the stage-discharge relationship is generally used in natural streams to estimate discharge. This paper aims to optimize the rating curve using a generalized reduced gradient (GRG) solver and the test the accuracy and applicability of the hybridized linear regression (LR) with other machine learning techniques, namely, linear regression-random subspace (LR-RSS), linear regression-reduced error pruning tree (LR-REPTree), linear regression-support vector machine (LR-SVM) and linear regression-M5 pruned (LR-M5P) models.

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Effective management of Tumors of Nose and Paranasal Sinuses (PNS) require adequate vascular control of the vessels supplying the tumor to facilitate complete removal and to reduce the complications. To emphasize the role of prior control of feeding vessels in reducing intraoperative blood loss, achieving bloodless fields for endoscopic excision and in facilitating complete excision of tumors of Nose and PNS. A prospective study of 23 patients who were operated for various tumors of Nose and PNS by either Endoscopic or Open approaches for which intraoperative control of the feeding vessels was done based on the Radiological findings.

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Introduction: Helicobacter pylori (H. pylori) infection is reported to be the most frequent cause of morbidity and mortality in cases of upper gastrointestinal (GI) diseases. There is paucity of research between the possible association of H.

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