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ORCIDNew Generation Computing, Volume 41
Volume 41, Number 1, March 2023
- Yutaka Matsuo, Ryutaro Ichise, Yoji Kiyota:
New Generation Computing Becomes the Official Journal of the Japanese Society for Artificial Intelligence. 1-2 - Sven Groppe:
Renewal of the Major Fields of New-Generation Computing. 3-4 - Takeshi Kojima
, Yusuke Iwasawa, Yutaka Matsuo:
Robustifying Vision Transformer Without Retraining from Scratch Using Attention-Based Test-Time Adaptation. 5-24 - Sankhadeep Chatterjee, Soumyajit Maity, Mayukh Bhattacharjee, Soumen Banerjee, Asit Kumar Das, Weiping Ding:
Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images. 25-60 - Ankit Kumar Dubey, Krishna Kumar Mohbey:
Combined Cloud-Based Inference System for the Classification of COVID-19 in CT-Scan and X-Ray Images. 61-84 - Zhen Zhang, Huanzhou Li, Zhangguo Tang, Dinglin Gu, Jian Zhang:
A Clustering Offloading Decision Method for Edge Computing Tasks Based on Deep Reinforcement Learning. 85-108 - Koichi Nagatsuka, Clifford Broni-Bediako, Masayasu Atsumi:
Length-Based Curriculum Learning for Efficient Pre-training of Language Models. 109-134 - Santosh Kumar Sahoo, Gopinath Palai, Baraa Riyadh Altahan, Sk. Hasane Ahammad, P. Poorna Priya, Md. Amzad Hossain, Ahmed Nabih Zaki Rashed:
An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic. 135-154 - Sandeep Kumar Satapathy, Shreyaa Saravanan, Shruti Mishra, Sachi Nandan Mohanty:
A Comparative Analysis of Multidimensional COVID-19 Poverty Determinants: An Observational Machine Learning Approach. 155-184 - Fatmana Sentürk, Vecdi Aytaç:
Correction to: A Graph‑Based Ontology Matching Framework. 185 - Santosh Kumar Sahoo, Gopinath Palai, Baraa Riyadh Altahan, Sk. Hasane Ahammad, P. Poorna Priya, Md. Amzad Hossain, Ahmed Nabih Zaki Rashed:
Correction to: An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic. 187-188
Volume 41, Number 2, June 2023
- Salvador Contreras Hernández, María Patricia Tzili Cruz, José Martín Espínola Sánchez, Angélica Pérez Tzili:
Deep Learning Model for COVID-19 Sentiment Analysis on Twitter. 189-212 - Chalapathiraju Kanumuri, Renu Madhavi Chodavarapu:
GUI Enabled Optimized Approach of CNN for Automatic Diagnosis of COVID-19 Using Radiograph Images. 213-224 - Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Mahdi Pedram, Gerald Schaefer, Diego Oliva:
Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems. 225-242 - Nagamani Tenali, Gatram Rama Mohan Babu:
A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis. 243-280 - Mohamed Hassen Kerkache, Lamia Sadeg-Belkacem, Fatima Benbouzid-Si Tayeb:
Similarity-Based Hybrid Algorithms for Link Prediction Problem in Social Networks. 281-314 - Vivek Yoganand Anbalagan, S. Rajasekaran, T. D. Rajeeve:
A Novel ORLLTMLP-Based Attack Detection and Blockchain-Aware Security Framework Using LCTFA in Smart City Applications. 315-342 - Rana Khattab, Islam R. Abdelmaksoud, Samir Abdelrazek:
Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey. 343-400 - S. A. S. Rajita Bommakanti, Pranay Tarigopula, Phanindra Ramineni, Ashank Sharma, Subhrakanta Panda:
Application of Evolutionary Algorithms in Social Networks: A Comparative Machine Learning Perspective. 401-444 - Mariusz Mulka:
Asymptotic Time Complexity of Identification of Basic-level. 445-473 - Aman Gupta, Shashank Mishra, Sourav Chandan Sahu, Ulligaddala Srinivasarao, K. Jairam Naik:
Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net. 475-502
Volume 41, Number 3, September 2023
- T. Vijayanandh, A. Shenbagavalli:
A Hybrid Deep Neural Approach for Segmenting the COVID Affection Area from the Lungs X-Ray Images. 503-522 - Akimasa Morihata:
When does 0-1 Principle Hold for Prefix Sums? 523-531 - Baijnath Kaushik, Akshma Chadha, Reya Sharma:
Performance Evaluation of Learning Models for the Prognosis of COVID-19. 533-551 - Wufei Zhu, Ying Liu, Ya Zhao, Xingyu Liao, Mingxu Tong, Xiangyu Liao:
An Optimized Scaffolding Algorithm for Unbalanced Sequencing. 553-579 - Deepti Sisodia, Dilip Singh Sisodia:
Stacked Generalization Architecture for Predicting Publisher Behaviour from Highly Imbalanced User-Click Data Set for Click Fraud Detection. 581-606 - Sakshi Srivastava, Supriya Agrahari, Anil Kumar Singh:
Early Spam Detection Using Time-Based Cache in Graph database. 607-634 - Nidhi Agarwal, Sachi Nandan Mohanty, Shweta Sankhwar, Jatindra Kumar Dash:
A Novel Model to Predict the Effects of Enhanced Students' Computer Interaction on Their Health in COVID-19 Pandemics. 635-668 - Asha Latha Thandu, Vijaya Saradhi Thommandru, Pradeepini Gera:
Data Science in Healthcare Monitoring Under Covid-19 Detection by Extended Hybrid Leader-Based Compressed Neural Network. 669-696 - Matthias Kissel, Klaus Diepold:
Structured Matrices and Their Application in Neural Networks: A Survey. 697-722 - Atul Gupta, Kalpana Sharma, Krishan Kumar Goyal:
Ontology-Based Similarity Computation of Two Sentences Using Word-Net Database. 723-737 - Mona Moradi, Javad Hamidzadeh:
Entropy-Based Fuzzy C-Ordered-Means Clustering Algorithm. 739-775
Volume 41, Number 4, November 2023
- Rei Taguchi, Hiroki Sakaji, Kiyoshi Izumi, Yuri Murayama:
Constructing Sentiment Signal-Based Asset Allocation Method with Causality Information. 777-794 - Jaspreet Kaur, Prabhpreet Kaur:
A CNN Transfer Learning-Based Automated Diagnosis of COVID-19 From Lung Computerized Tomography Scan Slices. 795-838 - Hiroki Sakaji, Kiyoshi Izumi:
Financial Causality Extraction Based on Universal Dependencies and Clue Expressions. 839-857 - Saran Kumar Arunachalam, Rekha Rajagopal:
A Dense Network Approach with Gaussian Optimizer for Cardiovascular Disease Prediction. 859-878
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