81 hasil untuk "Deepali Gupta"
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Artikel Jurnal
BORDER SURVEILLANCE USING FACE RECOGNITION, MOBILE OTP AND EMAIL
Expanding strains over Indian borders with illegal crossings and examining past assaults on the nation, it is clear that in a large portion of the cases, security powers are uninformed of the movement of these interlopers. For this reason, a framework is needed to manage the border issue that would…
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Buku
Exercise Therapy Lab Manual for BPT 4th Semester
This lab manual is prepared for BPT 4th semester students to guide practical sessions of Exercise Therapy. It includes aims, procedures, precautions and clinical relevance of therapeutic exercises used in physiotherapy practice.
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Artikel Jurnal
Analyzing the impact of edge, fog and cloud computing on predictive maintenance in the Industrial Internet of Things
Abstract The Industrial Internet of Things is transforming industrial processes through the integration of edge, fog, and cloud computing to offer predictive maintenance to reduce unexpected downtime and increase operational effectiveness. Limited use of predictive maintenance is due to antiquated…
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Artikel Jurnal
Financial Literacy as a Collective Resource: Conceptualizing Its Role in Community Well-Being and Economic Vitality
This study proposes a conceptual framework that positions financial literacy as a collective asset integral to promoting community well-being and driving sustainable economic growth. Traditional perspectives on financial literacy often emphasise individual competencies such as personal financial…
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Artikel Jurnal
Pharmacological evaluation of novel 5-HT 3 receptor antagonist, QCM-13 (N-cyclohexyl-3-methoxyquinoxalin-2-carboxamide) as anti-anxiety agent in behavioral test battery
Objective: In the last few decades, serotonin type-3 (5-HT 3 ) receptor antagonists have been identified as potential targets for anxiety disorders. In preclinical studies, 5-HT 3 antagonists have shown promising antianxiety effects. In this study, a novel 5-HT 3 receptor antagonist…
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Artikel Jurnal
Role of hypothalamic-pituitary-adrenal-axis in affective disorders: Anti-depressant and anxiolytic activity of partial 5-HT1A agonist in adrenalectomised rats
Background: Depression is a neurological disorder characterized by sad mood, loss of pleasure, agitation and retardation. Though most relevant neuronal pathophysiology is characterized by decrease in monoamine namely; serotonin (5-HT), dopamine, noradrenaline level in central areas regulating mood…
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Artikel Jurnal
Effect of Introduction of Fault and Imperfect Debugging on Release Time
One of the most important decisions related to the efficient management of testing phase of software development life cycle is to determine when to stop testing and release the software in the market. Most of the testing processes are imperfect once. In this paper first we have discussed an optimal…
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Artikel Jurnal Teks lengkap
RETRACTED: Optimizing chemotherapeutic targets in non-small cell lung cancer with transfer learning for precision medicine
Non-small cell lung cancer (NSCLC) accounts for the majority of lung cancer cases, making it the most fatal diseases worldwide. Predicting NSCLC patients’ survival outcomes accurately remains a significant challenge despite advancements in treatment. The difficulties in developing effective drug…
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Artikel Jurnal
Comparative Growth Analysis of Onion in Deep Water Culture and Soil Based Systems: Enhancing Medicinal Plant Cultivation in Urbanized Environments
Medicinal plants play a vital role in treating human and livestock ailments. A majority of the population living across the world relies on medicinal plants as a primary source of healthcare. The rural as well as the urban habitats depend on medicinal plants. Medicinal plants may be of root type or…
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Artikel Jurnal
Smoking status on subsequent readmission to hospital: The impact of inpatient brief interventions for smokers
Introduction Material and Methods Results Conclusions
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Artikel Jurnal
Dragon fly algorithm based approach for escalating the security among the nodes in wireless sensor network based system
Abstract A new technology that is gaining popularity today is the Wireless Sensor Network. Smart sensors are being used in a variety of wireless network applications, including intruder detection, transportation, the Internet of Things, smart cities, the military, industrial, agricultural, and…
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Artikel Jurnal Teks lengkap
UMobileNetV2 model for semantic segmentation of gastrointestinal tract in MRI scans
Gastrointestinal (GI) cancer is leading general tumour in the Gastrointestinal tract, which is fourth significant reason of tumour death in men and women. The common cure for GI cancer is radiation treatment, which contains directing a high-energy X-ray beam onto the tumor while avoiding healthy…
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Artikel Jurnal Teks lengkap
A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos
Malignant glioma is the uncontrollable growth of cells in the spinal cord and brain that look similar to the normal glial cells. The most essential part of the nervous system is glial cells, which support the brain’s functioning prominently. However, with the evolution of glioma, tumours form that…
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Artikel Jurnal
Machine learning insights for sustainable hydroponic cultivation and growth monitoring of allium cepa using smart hydro kit
Abstract This research paper emphasizes the growing importance of Allium Cepa (Onions)–a medicinal plant, as a safe and effective alternative to conventional medicinal therapies for both humans and livestock. The increasing concerns over the high costs and side effects of traditional treatments…
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Artikel Jurnal
Sustainable energy efficient workflow classification and scheduling in geo distributed cloud datacenter
Abstract Data centers are a major source of carbon emissions and are subsequently contributing to global carbon footprints. Keeping in view of providing a sustainable solution to society, we have analyzed various factors that can help to achieve carbon neutrality and maximum sustainability. Our…
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Artikel Jurnal Teks lengkap
Optimized technique for speaker changes detection in multispeaker audio recording using pyknogram and efficient distance metric
Segmentation process is very popular in Speech recognition, word count, speaker indexing and speaker diarization process. This paper describes the speaker segmentation system which detects the speaker change point in an audio recording of multi speakers with the help of feature extraction and…
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Artikel Jurnal
Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments
Abstract Classification of indoor scenes is a crucial task of computer vision. It has widespread applications like smart homes, smart cities, robotics, etc. Primitive classification methods like Support Vector Machines (SVM) and K-Nearest Neighbors (KNN), provide a compromised performance with…
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Artikel Jurnal
Enhancing security and privacy of chest X-ray images by implementing edge-based steganography and layered cryptography
Electronic medical images (EMIs) usage is growing with the smart city lifestyle, which allows access to data at any time and from any place. EMIs are transmitted over a communication medium or stored in third-party cloud servers, leading to security and privacy concerns. EMIs should be accessible…
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Artikel Jurnal
Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematological parameters
LC continues to be the most prevalent cause of cancer deaths worldwide, which calls for sophisticated detection strategies. The present study investigates 34 demographic, behavioral, and hematological risk factors based on a sample of 2,000 patient data records. A multi-model machine learning…
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Artikel Jurnal
Protein Subcellular Localization Prediction by Concatenation of Convolutional Blocks for Deep Features Extraction From Microscopic Images
Understanding where proteins are located within the cells is essential for proteomics research. Knowledge of protein subcellular location aids in early disease detection and drug targeting treatments. Incorrect localization of proteins can interfere with the functioning of cells and leads to…