Balasamy Krishnasamy

• Master of Engineering
• Assistant professor -III at Bannari Amman Institute of Technology

Deep learning has been the subject of a significant amount of research interest in the development of novel algorithms for deep learning algorithms and medical image processing have proven very effective in a number of medical imaging tasks to help illness identification and diagnosis. The shortage of large-sized datasets that are also adequately a...

Diabetic Retinopathy (DR) is a leading cause of vision loss, resulting in blindness for many individuals. Numerous systems have been developed to detect and classify DR. The effectiveness of an automated diagnosis system is typically contingent upon the segmentation techniques employed. However, the accuracy of such systems is greatly influenced by...

Dementia encompasses a range of cognitive disorders, with Alzheimer’s Disease being the utmost widespread and devastating. AD gradually erodes memory and daily functioning through the progressive deterioration of brain cells. It poses a significant global health challenge, necessitating early identification and intervention. Detecting AD at its ons...

In this era of rapid technological advancements, personalized electronic gadg et recommendation systems powered by ai are gaining prominence. such syste ms leverage machine learning algorithms to analyse user preferences, behavio ur, and historical data to provide tailored recommendations for electronic gad gets. by considering factors like user de...

Fishing is one of the main wellsprings of food and pay for practically all beach front terrains regardless of its geographical area in the earth. Since it plays a significant part to play in the Economy, adjoining nations having similar seas every now and again participate in questions with respect to responsibility for region. This has brought abo...

There is a widespread use of cluster-based routing in wireless sensor networks since it is the most energy-efficient. Idealizing cluster heads, on the other hand, is NP-hard and hence requires heuristic or metaheuristic approaches. However, while outperforming algorithms, metaheuristics computation time restricts its ability to respond to routing r...

Significant improvements in computing, particularly in the area of financial cryptography, have outcome from study into homomorphic encryption schemes. Homomorphic encryption offers a way to safely transfer sensitive data between computer systems and store it there. Any information that a sender wants to send to a recipient is known as plaintext. I...

The use of cloud computing has grown in popularity recently all around the world. A new paradigm for information processing and storage is introduced by cloud computing. A scalable, effective, and enormous collection of computer networks make up the cloud. A public, private or hybrid infrastructure could make up the cloud. While private clouds are...

Security, secrecy, and authenticity problems have arisen as a result of the widespread sharing of medical images in social media. Copyright protection for online photo sharing is becoming a must. In this research, a cutting-edge method for embedding encrypted watermarks into medical images is proposed. The proposed method makes use of fuzzy-based R...

In the present decades, analysis of healthcare domain plays a significant role for research purposes and it depends more on computer technology. The analysis of medical data is one of the most primary factors for healthcare domain that has to be done by the machine learning (ML) intelligent systems. Normally, the healthcare data is composed of huge...

Ongoing improvements in AI, particularly concerning deep learning techniques, are assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the quickest developing field in artificial intelligence and is effectively utilized lately in numerous areas, including medication. A brief outline is given on studies carried...

Lately, medical service area has developed quickly with its own advantages and disadvantages. In this computerized time, giving exact determination in the carefully communicated clinical pictures is at more serious dangers. This paper presents the watermarking method for medical images that should resists for various kinds of attacks. Firstly, our...

Ongoing improvements in AI, particularly concerning deep learning techniques, are assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the quickest developing field in artificial intelligence and is effectively utilized lately in numerous areas, including medication. A brief outline is given on studies carried...

The Internet of Things (IoT) is a booming research area in the recent world, which has many potential problems to solve. It grants anyone to interface anything with the web. Then again, secure association, correspondence and sharing of data are additionally under investigation in IoT condition. Communication and storage of information on any IoT de...

Healthcare has experienced significant growth in recent years, bringing both advantages and downsides. It is more difficult to provide a precise diagnosis using digitally transmitted medical images in today's digital age. Using an adaptive neuro-fuzzy model and an integrated watermark transformation mechanism, this study proposes a new approach for...

One of the significant elements of smart healthcare and the smart home is diet tracking. With an injective monitoring system to track one's eating frequency, researchers have addressed this issue. Using a weighing sensor and radio‐frequency‐ identification (RFID) to measure the weight of food intake, a smart dining table was installed. To detect fo...

The Internet of Things (IoT) is a booming research area in recent world, which has many potential problems to solve. It grants anyone to interface anything with the web. Then again, secure association, correspondence and sharing of data are additionally under investigation in IoT condition. Communication and storage of information on any IoT device...

In recent days, securing the clinical images with high-level attacks is still a great challenge. The proposed algorithm focuses on developing an algorithm, which starts with pre-processing clinical image by Switched Mode Fuzzy Median Filter (SMFMF) for extracting the noise affected pixel thereby replacing the noisy pixel with the value of median pi...

Nowadays secure medical image watermarking had become a stringent task in telemedicine. This paper presents a novel medical image watermarking method by fuzzy based Region of Interest (ROI) selection and wavelet transformation approach to embed encrypted watermark. First, the source image will undergo fuzzification to determine the critical points...

This paper presents a novel medical image authentication system through wavelet decomposition and particle swarm optimization (PSO). First medical image is treated with wavelet transformation and another image is treated with tent map and a hash function to further protect the secret watermark. Tent map ensures the sensitivity towards changes in th...

Electroencephalographms (EEGs) are records of brain electrical activity. It is an indispensable tool for diagnosing neurological diseases, such as epilepsy. Wavelet transform (WT) is an effective tool for analysis of non-stationary signal, such as EEGs. Wavelet analysis is used to decompose the EEG into delta, theta, alpha, beta, and gamma sub-band...

In this paper, the requirements, techniques and applications of digital watermarking for high-quality images were discussed. The several classes of digital watermarking techniques defined by their appearance and application domains specify the requirements and summarize the current research efforts in the image applications. An optimal watermark em...

In this paper we propose a hybrid image watermarking algorithm which satisfies both imperceptibility and robustness requirements. Our proposed work provide an optimum solution by using singular values of Wavelet Transformation's HL and LH sub bands to embed watermark. Further to increase and control the strength of the watermark, we use a scale fac...

This paper aims at developing a hybrid image watermarking algorithm which satisfies both imperceptibility and robustness requirements. In order to achieve our objectives we have used singular values of Wavelet Transformation’s HL and LH sub bands to embed watermark. Further to increase and control the strength of the watermark, we use a scale facto...