Publications by authors named "Ajith Abraham"

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Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression.
Yajnaseni Dash, Vinayak Gupta, Ajith Abraham, Swati Chandna

J Imaging· February 2025

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Four Transformer-Based Deep Learning Classifiers Embedded with an Attention U-Net-Based Lung Segmenter and Layer-Wise Relevance Propagation-Based Heatmaps for COVID-19 X-ray Scans.
Siddharth Gupta, Arun K Dubey, Rajesh Singh, Mannudeep K Kalra, Ajith Abraham

Diagnostics (Basel)· July 2024

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Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.
Mrinalini Bhagawati, Sudip Paul, Laura Mantella, Amer M Johri, John R Laird, Ajith Abraham

Int J Cardiovasc Imaging· June 2024

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A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents.
Supriya Mahadevkar, Shruti Patil, Ketan Kotecha, Ajith Abraham

PeerJ Comput Sci· February 2024

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Editorial: Advancements of deep learning in medical imaging for neurodegenerative diseases.
Loveleen Gaur, Patrick Siarry, Ajith Abraham, Oscar Castillo

Front Neurosci· January 2024

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The Functional Outcome of Limb Salvage of Proximal Femur Tumors With Modular Endoprosthesis: A Prospective Study.
Hiranya Kumar, Karthik N Mittemari, VamshiKrishna Chand Nimmagadda, Ajith T Abraham, Shivaraj Nadagouda

Cureus· December 2023

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Adaptive variable sampling model for performance analysis in high cache-performance computing environments.
Mincheol Shin, Mucheol Kim, Geunchul Park, Ajith Abraham

Heliyon· June 2023

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Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models.
Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Ketan Kotecha, Ajith Abraham

Sensors (Basel)· June 2023

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A Review on State-of-the-Art Techniques for Image Segmentation and Classification for Brain MR Images.
Aswathy S U, Ajith Abraham

Curr Med Imaging· May 2023

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Synergy of climate change with country success and city quality of life.
Arturas Kaklauskas, Ajith Abraham, Loreta Kaklauskiene, Ieva Ubarte, Dilanthi Amaratunga

Sci Rep· May 2023

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A novel nonlinear time-varying sigmoid transfer function in binary whale optimization algorithm for descriptors selection in drug classification.
Norfadzlia Mohd Yusof, Azah Kamilah Muda, Satrya Fajri Pratama, Ajith Abraham

Mol Divers· February 2023

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Intra-graph and Inter-graph joint information propagation network with third-order text graph tensor for fake news detection.
Benkuan Cui, Kun Ma, Leping Li, Weijuan Zhang, Ke Ji, Ajith Abraham

Appl Intell (Dordr)· February 2023

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Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder.
Harsh Vardhan Guleria, Ali Mazhar Luqmani, Harsh Devendra Kothari, Priyanshu Phukan, Shruti Patil, Ajith Abraham

Int J Environ Res Public Health· February 2023

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A possibilistic-robust-fuzzy programming model for designing a game theory based blood supply chain network.
Peiman Ghasemi, Fariba Goodarzian, Ajith Abraham, Saeed Khanchehzarrin

Appl Math Model· December 2022

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A novel minimum generalized cross entropy-based multilevel segmentation technique for the brain MRI/dermoscopic images.
Bibekananda Jena, Manoj Kumar Naik, Rutuparna Panda, Ajith Abraham

Comput Biol Med· December 2022

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Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals.
Bhaskar Kapoor, Bharti Nagpal, Praphula Kumar Jain, Ajith Abraham, Lubna Abdelkareim Gabralla

Sensors (Basel)· December 2022

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Segmentation on remote sensing imagery for atmospheric air pollution using divergent differential evolution algorithm.
Meera Ramadas, Ajith Abraham

Neural Comput Appl· October 2022

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A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States.
Arturas Kaklauskas, Ajith Abraham, Ieva Ubarte, Romualdas Kliukas, Vaida Luksaite

Sensors (Basel)· October 2022

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Kids' Emotion Recognition Using Various Deep-Learning Models with Explainable AI.
Manish Rathod, Chirag Dalvi, Kulveen Kaur, Shruti Patil, Shilpa Gite, Ajith Abraham

Sensors (Basel)· October 2022

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Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data.
Sajal Misra, Satish Kumar, Sameer Sayyad, Arunkumar Bongale, Priya Jadhav, Ajith Abraham

Sensors (Basel)· October 2022

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DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection.
Kun Ma, Changhao Tang, Weijuan Zhang, Benkuan Cui, Ke Ji, Ajith Abraham

Appl Intell (Dordr)· August 2022

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A new humanitarian relief logistic network for multi-objective optimization under stochastic programming.
Peiman Ghasemi, Fariba Goodarzian, Ajith Abraham

Appl Intell (Dordr)· June 2022

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Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization.
Anu Bajaj, Ajith Abraham, Saroj Ratnoo, Lubna Abdelkareim Gabralla

Sensors (Basel)· June 2022

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Investigating a Dual-Channel Network in a Sustainable Closed-Loop Supply Chain Considering Energy Sources and Consumption Tax.
Mehran Gharye Mirzaei, Fariba Goodarzian, Saeid Maddah, Ajith Abraham, Lubna Abdelkareim Gabralla

Sensors (Basel)· May 2022

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Long text feature extraction network with data augmentation.
Changhao Tang, Kun Ma, Benkuan Cui, Ke Ji, Ajith Abraham

Appl Intell (Dordr)· April 2022

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