Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges
A Aldoseri, KN Al-Khalifa, AM Hamouda - Applied Sciences, 2023 - mdpi.com
The use of artificial intelligence (AI) is becoming more prevalent across industries such as
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …
A review on nature-inspired algorithms for cancer disease prediction and classification
In the era of healthcare and its related research fields, the dimensionality problem of high-
dimensional data is a massive challenge as it is crucial to identify significant genes while …
dimensional data is a massive challenge as it is crucial to identify significant genes while …
Modified genetic algorithm with deep learning for fraud transactions of ethereum smart contract
Recently, the Ethereum smart contracts have seen a surge in interest from the scientific
community and new commercial uses. However, as online trade expands, other fraudulent …
community and new commercial uses. However, as online trade expands, other fraudulent …
Novel cuckoo search-based metaheuristic approach for deep learning prediction of depression
Depression is a common illness worldwide with doubtless severe implications. Due to the
absence of early identification and treatment for depression, millions of individuals …
absence of early identification and treatment for depression, millions of individuals …
Optimizing gene selection and cancer classification with hybrid sine cosine and cuckoo search algorithm
Gene expression datasets offer a wide range of information about various biological
processes. However, it is difficult to find the important genes among the high-dimensional …
processes. However, it is difficult to find the important genes among the high-dimensional …
CO‐WOA: novel optimization approach for deep learning classification of fish image
The most significant groupings of cold‐blooded creatures are the fish family. It is crucial to
recognize and categorize the most significant species of fish since various species of …
recognize and categorize the most significant species of fish since various species of …
A review of posture detection methods for pigs using deep learning
Z Chen, J Lu, H Wang - Applied Sciences, 2023 - mdpi.com
Analysis of pig posture is significant for improving the welfare and yield of captive pigs under
different conditions. Detection of pig postures, such as standing, lateral lying, sternal lying …
different conditions. Detection of pig postures, such as standing, lateral lying, sternal lying …
Cognizable crime rate prediction and analysis under Indian penal code using deep learning with novel optimization approach
RM Aziz, A Hussain, P Sharma - Multimedia Tools and Applications, 2024 - Springer
The exacerbation of high crime rate has become a critical impediment to the country's
economy, therefore necessitating the involvement of data analysts and scientists in …
economy, therefore necessitating the involvement of data analysts and scientists in …
An improved cuckoo search algorithm for optimization of artificial neural network training
PN Maddaiah, PP Narayanan - Neural Processing Letters, 2023 - Springer
Artificial neural networks are widely used for solving engineering design problems of various
disciplines due to its simplicity, efficiency, and adaptability. It predicts promising and …
disciplines due to its simplicity, efficiency, and adaptability. It predicts promising and …
Generative Adversarial Networks (GANs) for Image Augmentation in Farming: A Review
Enhancing model performance in agricultural image analysis faces challenges due to
limited datasets, biological variability, and uncontrolled environments. Deep learning …
limited datasets, biological variability, and uncontrolled environments. Deep learning …