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Browsing 2022 by Issue Date

Now showing items 1-20 of 22

AN EFFICIENT LIGHT WEIGHT CONVOLUTIONAL NEURAL NETWORK FOR HAND GESTURE RECOGNITION

Aysha Rega, S; Chinnu, Jacob (2022-07)

Following the breakout of COVID-19, there has been a significant increase in demand for gesture sensing applications, which allow users to manage gadgets with simple hand gestures rather than physically touching them. ...
EEG BASED EMOTION DETECTION USING DEEP NEURAL NETWORKS

Ganga, V Saji; Sabeena, Beevi K (2022-07)

The EEG signals captured from central nervous system, have the property to directly reflect the brain activity and thus have an intrinsic relationship with the emotional states of humans. Researchers are paying more ...
TROPHIC STATE CLASSIFICATION OF KERALA LAKES USING AUTO-TUNED HYBRID AI MODELS

Ebin, Joseph; Adarsh, S (2022-07)

The trophic state is one of the significant environmental impacts that must be monitored and controlled in any aquatic environment. This phenomenon due to nutrient imbalance in water strengthened with global warming, ...
TOUCHLESS FINGERPRINT IDENTIFICATION USING DEEP LEARNING

Dilavar, P D; Anzar, S M (2022-07)

Fingerprint identification technology is used as one of the most reliable technologies for authenticating people. The main reason for its popularity is the high reliability and unique ness. Fingerprint identification ...
DESIGN AND DEVELOPMENT OF AI-BOT USING SEQUENCE TO SEQUENCE LSTM

Aswathy, Santhosh; Sumod, Sundar (2022-07)

There is a rising trend in using conversational agents as virtual assistants and voice in terfaces in many business domains and applications. These agents aided users in getting the information they required by responding ...
SKIN CANCER DETECTION USING DEEP LEARNING

Abhiram, A P; Anzar, S M (2022-07)

In this work, an intelligent system for skin cancer detection is proposed. It is known that skin cancer is one of the deadliest diseases in the world, so it must be detected correctly in the early stages itself for saving ...
SDN BASED DDoS DETECTION USING TEMPORAL CONVOLUTIONAL NETWORK

Subuhana, N; Sumod, Sundar (2022-07)

Software-Defined Networking (SDN) is an emerging network architecture to overcome the weaknesses of traditional networks. The main goal of SDN is to separate the control and data planes and make network management more ...
A MULTI-DOMAIN FAKE NEWS DETECTION MODEL USING BERT AND DistilBERT

Sreethu, P R; Sumod, Sundar (2022-07)

The popularity and usage of online media platforms are increasing day by day and the dissemination of data is rapidly raised. The rise of social networks has accelerated the dissemination of rumors, satires, and false ...
ANALYSIS OF MITOSIS DETECTION TECHNIQUES FOR BREAST HISTOPATHOLOGICAL IMAGES

Abdul Rahim, Shihabuddin; Sabeena Beevi, K (2022-07)

The number of mitotic cells is an important metric in the diagnosis of breast cancer. It gives the extent to which the tumor has spread, which has further implications in pre dicting cancer’s aggressiveness. Mitosis ...
DROUGHT PREDICTION BASED ON SPI WITH VARYING TIMESCALES USING MACHINE LEARNING AND DEEP LEARNING MODELS

Jayesh, Raj; Adars, S (2022-07)

Drought modeling is an important issue because it is required for curbing or mitigating its effects, alerting the people to its consequences and water resources planning. The moni toring and forecasting of droughts plays ...
AN EFFICIENT XGBOOST–TABNET BASED CLASSIFICATION METHOD FOR NETWORK INTRUSION DETECTION SYSTEM

Saranya, T; Sumod, Sunder (2022-07)

With the advancement in internet technology, an increase in network-related threats has led to several privacy concerns. Automated Intrusion Detection Systems (IDSs) can de tect malicious patterns where firewalls designed ...
AUTONOMOUS ROBOT NAVIGATION USING DEEP Q LEARNING

Sajin, S; Imthias Ahamed, T P (2022-07)

Artificial Intelligence has been a topic of great interest in a wide range of fields, such as gaming, computer vision, and robotics. One of the impressive applications is the AI-based Alpha Go that has superhuman performance ...
Prediction of Streamflow using Deep learning and Machine Learning models

Govind, S R; Adarsh, S (2022-07)

Monthly streamflow prediction will give us a better idea about for flood warning, hydropower operation, reservoir operations and environmental protection. The current work look in to the prediction and evaluation capability ...
AUTONOMOUS WANDERING OF MOBILE ROBOT USING DEEP Q LEARNING

Jithin, M; Imthias, Ahamed T P (2022-07)

Every robotic navigation application need to ensure that the robots avoid collisions with the obstacles in its path. Traditional path planning algorithms can be used to drive a robot from one point to the other in a ...
AUTOMATED DEPRESSION DETECTION USING TABNET CLASSIFIER

Thasneem, Vazim; Sumod, Sundar (2022-07)
3D ATTENTION U-NET BASED MODEL FOR MULTI-REGION BRAIN TUMOR SEGMENTATION

ANILA, KUNJUMON; Chinnu, Jacob (2024-06-28)

Brain tumors are characterized by the abnormal growth of cells within or near the brain tissues. Accurate segmentation of brain tumors is crucial for effective clinical decision mak- ing. The traditional models encounter ...
DEVELOPING A CLASSIFICATION MODEL AND SEMANTIC SIMILARITY DETECTION OF SYSTEM AND SOFTWARE REQUIREMENTS USING SENTENCE TRANSFORMERS

V R Manasi, Manasan; Adarsh, S (2024-06-28)

Reading and understanding similar type of requirements using human interventions can be a laborious and time-consuming task. However, the complexity of natural language makes it difficult to accurately identify semantic ...
ESTABLISHING CONSENSUS IN MULTI-AGENT SYSTEMS VIA REINFORCEMENT LEARNING TECHNIQUE

Irfan, E; Resmi, R (2024-06-28)

A multi agent system(MAS) in the context of artificial intelligence refers to a system composed of multiple interacting agents, which can be entities or robots. These agents work together or compete to achieve individual ...
NAMED ENTITY EXTRACTION IN STRUCTURED FORMAT FROM RESUME USING LLAMA 2

Ann B, Merin; Anzar, S M (2024-06-28)

Recruitment agencies and firms encounter a significant challenge in handling the mul- titude of resumes they receive daily, which come in various formats such as PDFs, DOCX files, and with diverse layouts. Extracting ...
ANALYSING EEG SIGNAL TO RECOGNISE EMOTIONS

Dilish, Jose; Mubarak, Ali M (2024-06-28)

Emotion recognition through Electroencephalography (EEG) is widely acknowledged as a reliable method with diverse applications including defense, aerospace, and medical do- mains. This research aims to detect emotions ...

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