Search Results - "Mahesh, T. R."
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1
Mapping of soil suitability for medicinal plants using machine learning methods
Published in Scientific reports (14-02-2024)“…Inadequate conservation of medicinal plants can affect their productivity. Traditional assessments and strategies are often time-consuming and linked with…”
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2
UsCoTc: Improved Collaborative Filtering (CFL) recommendation methodology using user confidence, time context with impact factors for performance enhancement
Published in PloS one (15-03-2023)“…In today's society, time is considered more valuable than money, and researchers often have limited time to find relevant papers for their research…”
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3
Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning
Published in BMC medical informatics and decision making (07-08-2024)“…Lung and colon cancers are leading contributors to cancer-related fatalities globally, distinguished by unique histopathological traits discernible through…”
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4
Improved energy efficiency using adaptive ant colony distributed intelligent based clustering in wireless sensor networks
Published in Scientific reports (22-02-2024)“…Optimization algorithms have come a long way in the last several decades, with the goal of reducing energy consumption and minimizing interference with primary…”
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5
Secure malicious node detection in flying ad-hoc networks using enhanced AODV algorithm
Published in Scientific reports (03-04-2024)“…In wireless networking, the security of flying ad hoc networks (FANETs) is a major issue, and the use of drones is growing every day. A distributed network is…”
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6
Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques
Published in BMC medical informatics and decision making (27-05-2024)“…Lung cancer remains a leading cause of cancer-related mortality globally, with prognosis significantly dependent on early-stage detection. Traditional…”
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7
Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation
Published in BMC medical informatics and decision making (18-07-2024)“…Generalized Joint Hyper-mobility (GJH) can aid in the diagnosis of Ehlers-Danlos Syndrome (EDS), a complex genetic connective tissue disorder with clinical…”
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8
Blended Ensemble Learning Prediction Model for Strengthening Diagnosis and Treatment of Chronic Diabetes Disease
Published in Computational intelligence and neuroscience (14-07-2022)“…Diabetes mellitus (DM), commonly known as diabetes, is a collection of metabolic illnesses characterized by persistently high blood sugar levels. The signs of…”
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9
Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50
Published in BMC medical imaging (11-05-2024)“…This study addresses the critical challenge of detecting brain tumors using MRI images, a pivotal task in medical diagnostics that demands high accuracy and…”
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10
Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
Published in BMC medical informatics and decision making (01-10-2024)“…Polycystic Ovarian Disease or Polycystic Ovary Syndrome (PCOS) is becoming increasingly communal among women, owing to poor lifestyle choices. According to the…”
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11
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification
Published in BMC medical imaging (02-08-2024)“…Skin cancer stands as one of the foremost challenges in oncology, with its early detection being crucial for successful treatment outcomes. Traditional…”
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12
Transformative Breast Cancer Diagnosis using CNNs with Optimized ReduceLROnPlateau and Early Stopping Enhancements
Published in International journal of computational intelligence systems (22-01-2024)“…Breast cancer stands as a paramount public health concern worldwide, underscoring an imperative necessity within the research sphere for precision-driven and…”
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13
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering
Published in BMC medical informatics and decision making (30-04-2024)“…Brain tumors pose a significant medical challenge necessitating precise detection and diagnosis, especially in Magnetic resonance imaging(MRI). Current…”
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14
AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease
Published in Computational intelligence and neuroscience (2022)“…As a result of technology improvements, various features have been collected for heart disease diagnosis. Large data sets have several drawbacks, including…”
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15
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer
Published in BMC medical imaging (08-04-2024)“…Breast Cancer is a significant global health challenge, particularly affecting women with higher mortality compared with other cancer types. Timely detection…”
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16
Enhancing image-based diagnosis of gastrointestinal tract diseases through deep learning with EfficientNet and advanced data augmentation techniques
Published in BMC medical imaging (12-11-2024)“…The early detection and diagnosis of gastrointestinal tract diseases, such as ulcerative colitis, polyps, and esophagitis, are crucial for timely treatment…”
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17
Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam
Published in BMC medical imaging (19-07-2024)“…Medical imaging stands as a critical component in diagnosing various diseases, where traditional methods often rely on manual interpretation and conventional…”
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18
Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics
Published in BMC medical imaging (29-04-2024)“…To detect the Marchiafava Bignami Disease (MBD) using a distinct deep learning technique. Advanced deep learning methods are becoming more crucial in…”
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Revolutionizing breast ultrasound diagnostics with EfficientNet-B7 and Explainable AI
Published in BMC medical imaging (02-09-2024)“…Breast cancer is a leading cause of mortality among women globally, necessitating precise classification of breast ultrasound images for early diagnosis and…”
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Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images
Published in BMC medical imaging (09-08-2024)“…A recent global health crisis, COVID-19 is a significant global health crisis that has profoundly affected lifestyles. The detection of such diseases from…”
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