Sasmita Parida

Basis-IoT

Sasmita Parida, Tanmay Mukherjee, Ayushee Das, Sujit Bebortta et autres

Smart farming is revolutionizing agriculture by incorporating state-of-the-art technologies to enhance decision-making, production, and resource efficiency. In countries such as India, where agriculture plays a pivotal role in the national economy, traditional irrigation practices are often inefficient and labor-intensive, particularly under conditions …

Kathashilpi Chandrasekhar Rathanka Galpajagata: Eka Drustipata

Sasmita Parida

Kathashilpi Chandrasekhar Rathanka Galpajagata: Eka Drustipata, UGC CARE Journal, UGC CARE Approved Journals, UGC CARE Journal List, UGC CARE Journal Impact Factor, UGC CARE Journal Publication Guidelines, UGC CARE Journal Call for Papers, UGC CARE Journal Review Process, UGC CARE Journal Ranking, …

SQ-CORA: squirrel search algorithm driven cost and performance optimisation for cloud resource allocation

Ayushi Pati, Suvendu Chandan Nayak, Sasmita Parida, Rajkumar Buyya

Analyzing the Impact of Adversarial Examples on Explainable Machine Learning

Prathyusha Devabhakthini, Suvendu Chandan Nayak, Raj Shukla, Sasmita Parida et autres

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Maximum Entropy Principle: Applicability and Adaptability in Wireless Fading Channels

Sarbeswar Samal, Tanmay Mukherjee, Sasmita Parida, Sujata Chakravarty et autres

In pragmatic frameworks, the communication between a transmitter and a receiver is impacted by the simultaneous outcome of wireless fading and shadowing. With regard to probabilistic moments, using the maximum entropy principle (MEP), the characterization of these fading scenarios can be flexibly …

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A Meta-heuristic Hybrid Wrapper Method based on Feature Selection for Classification of Biological Samples

Sabita Rani Behera, Bibudhendu Pati, Sasmita Parida

Cancer is the vital cause of death across the Globe.Microarray technology is regarded as a promisingdiagnostic and classification tool for cancer. Itexplores genetic mutations occurring within acancer cell. Dimensionality reduction techniques(DRT) are vital in microarray based data analysis.The microarray data contains a …

Gender-Based Differences in Aneurysm Characteristics Among Patients With Aneurysmal Subarachnoid Hemorrhage: A Multidetector CT Angiography Study at a Tertiary Care Hospital

Asima Tripathy, Mamata Singh, Pradosh Kumar Sarangi, Sasmita Parida et autres

BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening neurovascular emergency. Gender-related variations in aneurysm characteristics may influence clinical presentation, imaging findings, and management strategies. This study aimed to evaluate the frequency distribution and gender-based differences in aneurysm characteristics among patients with aSAH …

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Deep-Detector: Deepfake Voice Recognition using Machine Learning

Sasmita Parida, Tanmay Mukharjee, Susmita Panda, Bibudhendu Pati

Advancements in machine learning (ML) and artificial intelligence (AI) have paved the way for the deepfake spectrum to expand in the tech space. The growing demand for generative AI has enabled users to apply the technology in the fields of deepfake voice …

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The Threat Landscape of Ransomware in Critical Infrastructure: An Optimization Perspective

Peer Mohammed Jeelan, Ramesh Saini, Sasmita Parida, Deepak Minhas et autres

Ransom ware, a malicious software program, has become a main threat to essential infrastructure systems, including power, transportation, and healthcare systems. This kind of cyber-attack is designed to block access to important records or devices until a ransom is paid, doubtlessly inflicting …

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Fused IGAN-IDS System Leveraging Randomized Tree Classification for Extreme Performance Improvement

N T Harisha Naik, K. Sriram Kumar, Sahil Suri, Sasmita Parida et autres

Functionality data obtained from real-world data sets exhibit characteristics such as larger sample size and fewer invasive testing methods. Current intrusion detection systems (IDS) have a hard time accurately detecting cyberattacks in IIoT systems, and the massive amounts of information that will …

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PBb-LMFO: a levy flight integrated MFO inspired ensemble model for cancer diagnosis

Sabita Rani Behera, Bibudhendu Pati, Sasmita Parida

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A deep learning-based compression and classification technique for whole slide histopathology images

Agnes Barsi, Suvendu Chandan Nayak, Sasmita Parida, Raj Mani Shukla

Abstract This paper presents an autoencoder-based neural network architecture to compress histopathological images while retaining the denser and more meaningful representation of the original images. Current research into improving compression algorithms is focused on methods allowing lower compression rates for Regions of …

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