An efficient arithmetic optimization algorithm for solving subset-sum problem

MK Madugula, SK Majhi… - … international conference on …, 2022 - ieeexplore.ieee.org
The Subset-Sum Problem (SSP) ensures a significant role in various practical applications,
which include cryptography and coding theory owing to the importance in the functionality of …

Optimised ensemble learning-based IoT-enabled heart disease monitoring system: an optimal fuzzy ranking concept

NK Munagala, LRR Langoju, AD Rani… - Computer Methods in …, 2023 - Taylor & Francis
Generally, patients with heart diseases enquire for medical services while sick. They will not
experience sickness often until they reach the last stage of heart disease, and so the …

A design of minimizing interference and maximizing throughput in cognitive radio network by joint optimization of the channel allocation and power control

TS Babu, SN Rao, P Satyanarayana - International Journal of Wireless …, 2023 - Springer
Most of the existing technologies for cognitive radio network (CRN) is essential for providing
an effective solution for spectrum utilization problem in the wireless medium. Power …

A new design of iris recognition using hough transform with K-means clustering and enhanced faster R-CNN

G Babu, AK Pinjari - Cybernetics and Systems, 2024 - Taylor & Francis
Iris recognition method is the most significant biometric modality for human identification.
Currently, multiple deep structured architectures have been employed in biometric …

A novel sparse multipath channel estimation model in OFDM system using improved Krill Herd-deep neural network

V Kondepogu, B Bhattacharyya - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract Orthogonal Frequency Division Multiplexing (OFDM) is broadly used in modern
wireless communication systems because of its highly robust nature when selecting the …

Time-Variant Satellite Vegetation Classification Enabled by Hybrid Metaheuristic-Based Adaptive Time-Weighted Dynamic Time Warping

M Kumawat, A Khaparde - International Journal of Image and …, 2024 - World Scientific
Land cover data is very significant for designing the earth system, managing the natural
resources, and also for performing conservation planning. Time-series data are captured …

Meta-heuristic Searched-Ensemble Learning for fake news detection with optimal weighted feature selection approach

S Hannah Nithya, A Sahayadhas - 2023 - dl.acm.org
Nowadays, fake news has turned into a major problem because of the negative impact that it
creates on society. Social media allows people to spread information on the internet with …

Weighted multi-deep feature extraction for hybrid deep convolutional LSTM-based remote sensing image scene classification model

G Akila, R Gayathri - Geocarto International, 2022 - Taylor & Francis
The classification with remote sensing image scene model is the most critical issue in the
perception of better visualization of remote sensing images. However, deep learning …

Intelligent and novel multi-type cancer prediction model using optimized ensemble learning

S Famitha, M Moorthi - Computer Methods in Biomechanics and …, 2022 - Taylor & Francis
Cancer is known to be highly severe disease and gets incurable even when the treatment
has started at the time of diagnosis owing to the occurrence of cancer cells. Diverse machine …

Profit Suggestion Technique in Agronomics Using a New Heuristic-Based Barnacle Mating Honey Badger Algorithm I-BMHBA

S Visnu Dharsini, S Babu - Cybernetics and Systems, 2022 - Taylor & Francis
Second phase, the prediction in Minimum Support Price (MSP) is made through detected
species. The required data in the price is gathered through online resources that are utilized …