Sachikanta Dash

ORCID: 0000-0002-0807-4624
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Artificial Intelligence in Healthcare
  • Handwritten Text Recognition Techniques
  • Blockchain Technology Applications and Security
  • Internet of Things and AI
  • AI in cancer detection
  • Machine Learning in Healthcare
  • Chaos-based Image/Signal Encryption
  • IoT and Edge/Fog Computing
  • Image Processing and 3D Reconstruction
  • COVID-19 diagnosis using AI
  • Advanced Steganography and Watermarking Techniques
  • Vehicle License Plate Recognition
  • Smart Agriculture and AI
  • Colorectal Cancer Screening and Detection
  • Brain Tumor Detection and Classification
  • EEG and Brain-Computer Interfaces
  • Radiomics and Machine Learning in Medical Imaging
  • Anomaly Detection Techniques and Applications
  • Imbalanced Data Classification Techniques
  • Rough Sets and Fuzzy Logic
  • Landslides and related hazards
  • Cellular Automata and Applications
  • Emotion and Mood Recognition
  • Advanced Malware Detection Techniques
  • Cryptography and Data Security

GIET University
2022-2025

Barkatullah University
2024

Sri Sri University
2021-2023

National Institute of Technology Rourkela
2022

Every aspect of the 21st century has undergone a revolution because Internet Things (IoT) and smart computing technologies. These technologies are applied in many different ways, from monitoring state crops moisture level soil real-time to using drones help with chores such as spraying pesticides. The extensive integration both recent IT conventional agriculture brought phase 4.0, often known agriculture. Agriculture intelligence automation addressed by However, advancement about digital...

10.3390/pr11030757 article EN Processes 2023-03-03

Nowadays, there is a growing need for Internet of Things (IoT)-based mobile healthcare applications that help to predict diseases. In recent years, several people have been diagnosed with diabetes, and according World Health Organization (WHO), diabetes affects 346 million individuals worldwide. Therefore, we propose noninvasive self-care system based on the IoT machine learning (ML) analyses blood sugar other key indicators early. The main purpose this work develop enhanced management which...

10.1155/2022/2389636 article EN cc-by Computational Intelligence and Neuroscience 2022-05-18

Diabetics mellitus has the potential to result in numerous challenges. Based on increasing morbidity rates recent years, it is projected that global diabetic population will surpass 642 million by 2040, indicating approximately one every ten individuals have diabetes. Undoubtedly, this alarming statistic necessitates urgent focus from both academics as well industry foster novelty and advancement prediction of diabetics, with aim preserving patients' lives. Deep learning (DL) was employed...

10.14569/ijacsa.2024.0150368 article EN International Journal of Advanced Computer Science and Applications 2024-01-01

Medical images such as brain MRI, ultrasound, and X-ray are currently used by doctors to treat many serious diseases in most hospitals clinics. These play a major role medical diagnosis. Diagnostic with sensitive patient data recorded exchanged owing the advancement of public networks. As result, maintaining privacy is becoming increasingly important. In imaging, pixels highly correlated. To reduce pixel correlation, variety complex encryption methods have been recent years, increasing...

10.4018/ijisp.303669 article EN International Journal of Information Security and Privacy 2022-07-08

In blockchains, enormous records can't be put away effectively. From one perspective, the blockchain becomes swollen with information that should dispersed all through organization. Nonetheless, because is repeated on numerous hubs, a lot of extra room needed without serving quick use, especially assuming hub administrator doesn't have to get each document saved money blockchain. Moreover, grounds more handled, traded, and kept, expense running hubs rises. IPFS document-sharing innovation...

10.1109/icoei53556.2022.9776967 article EN 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) 2022-04-28

Abstract In the Elliptic Curve Cryptosystem, multiplication of points is essential in successful computation any operation. Reduction time complexity for mathematical operations Cryptosystems with minimum hardware resources, methods: Addition and Subtraction, Mutual Opposite Form, Complementary Recoding techniques proposed as fast scalar schemes. The fast-point method always necessary operation on an Cryptosystem a restricted system. This study compares performance algorithms terms...

10.21203/rs.3.rs-862241/v1 preprint EN cc-by Research Square (Research Square) 2022-02-21

At times of natural calamities, it is very important that applications need to have geolocation data provide accurate services without interruption. For this, we appropriate localization techniques can be used in sensor nodes during these times. Scientists developed new recently deal with the remote using positioning methods which involve deploying a GPS-based mobile anchor node advances along path and transmitting its position value regularly thus enabling localization. Also, localization,...

10.1109/aespc52704.2021.9708459 article EN 2021-11-26

The Human brain is the most sophisticated part of body, which consist several neurons and biological component. A normal usually functioning at an aspect 93% for a healthy human. reduction caused due to formation solid mass known as glioma (A name mass) in brain. As per convention WHO, taking place stages slowly-slowly, hence detection tumour also bit difficult first second stages. Its activity very what we used face our day life like stress, strain, mild headache or even fever remains up...

10.1109/iccsea54677.2022.9936523 article EN 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA) 2022-09-08

Cancer is a disease involving unusual cell growth likely to spread other parts of the body. According WHO 2020 report, colorectal malignancy globally accepted second leading cause cancer related deaths. Colorectal arises when malignant cells often called polyp, grow inside tissues colon or rectum large intestine. Colonoscopy, CT scan, Histopathological analysis are some manual approaches detection that time consuming and lead diagnostic errors. Supervised CNN data model requires number...

10.4108/eetpht.9.3964 article EN cc-by EAI Endorsed Transactions on Pervasive Health and Technology 2023-09-25

It has been challenging to conduct research on the likelihood and consequences of TB survival. Significant advancements have accomplished in a few linked domains from initial phases associated study. For instance, improvements biomedicine raised estimations records for prognostic aspects. Cheap computer hardware software can also deliver better information, data evaluated using number analytics techniques. One most common diseases leading cause death developed countries like India is...

10.1109/ocit56763.2022.00071 article EN 2022-12-01
Coming Soon ...