Deep learning modelling techniques: current progress, applications, advantages, and challenges

SF Ahmed, MSB Alam, M Hassan, MR Rozbu… - Artificial Intelligence …, 2023 - Springer
Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

Efficient hardware architectures for accelerating deep neural networks: Survey

P Dhilleswararao, S Boppu, MS Manikandan… - IEEE …, 2022 - ieeexplore.ieee.org
In the modern-day era of technology, a paradigm shift has been witnessed in the areas
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …

Artificial intelligence to support publishing and peer review: A summary and review

K Kousha, M Thelwall - Learned Publishing, 2024 - Wiley Online Library
Technology is being developed to support the peer review processes of journals,
conferences, funders, universities, and national research evaluations. This literature and …

The state of the art in methodologies of course recommender systems—a review of recent research

DB Guruge, R Kadel, SJ Halder - Data, 2021 - mdpi.com
In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …

Biomedical relation extraction with knowledge graph-based recommendations

D Sousa, FM Couto - IEEE Journal of Biomedical and Health …, 2022 - ieeexplore.ieee.org
Biomedical Relation Extraction (RE) systems identify and classify relations between
biomedical entities to enhance our knowledge of biological and medical processes. Most …

Applications of natural language processing in ophthalmology: present and future

JS Chen, SL Baxter - Frontiers in Medicine, 2022 - frontiersin.org
Advances in technology, including novel ophthalmic imaging devices and adoption of the
electronic health record (EHR), have resulted in significantly increased data available for …

CLAVER: An integrated framework of convolutional layer, bidirectional LSTM with attention mechanism based scholarly venue recommendation

T Pradhan, P Kumar, S Pal - Information Sciences, 2021 - Elsevier
Scholarly venue recommendation is an emerging field due to a rapid surge in the number of
scholarly venues concomitant with exponential growth in interdisciplinary research and …

CNNRec: Convolutional Neural Network based recommender systems-A survey

R Patel, P Thakkar, V Ukani - Engineering Applications of Artificial …, 2024 - Elsevier
Easy internet access and technological advancements have resulted in information overload
and a plethora of options, making decision-making extremely difficult. Recommender …

Recommendation method for academic journal submission based on doc2vec and XGBoost

H ZhengWei, M JinTao, Y YanNi, H Jin, T Ye - Scientometrics, 2022 - Springer
With the continuous deepening of academic research in various disciplines and the
continuous increase in the number of scientific researchers, exploring the mechanism of …

Hasvrec: A modularized hierarchical attention-based scholarly venue recommender system

T Pradhan, A Gupta, S Pal - Knowledge-Based Systems, 2020 - Elsevier
Manually selecting appropriate scholarly venues is becoming a tedious and time-consuming
task for researchers due to many reasons that include relevance, scientific impact, and …