Arya, K. V., Rodriguez, C., Singh, S. & Singhal, A. Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision. (2024). Hilpisch. Y. J....
Csicsák, D. et al. The effect of the particle size reduction on the biorelevant solubility and dissolution of poorly soluble drugs with different acid-base character. Pharmaceutics...
This paper develops an EBSDC-AIFFT model. This paper aims to create an enhanced brain stroke detection system for individuals with disabilities, utilizing biomedical images to improve...
Quantitative performance evaluation To evaluate the generative quality and diversity of outputs produced by the proposed GAN-based educational system, we compared our model against four baseline...
Validity and reliability testing of the measurement model EFA was carried out on all the questions in each dimension of the factors, and the question types...
AI-enabled interviews and job application intention In the majority of AI-enabled interviews, a chatbot poses a set of predetermined questions to the interviewee, allowing them a...
Cluster identification This research calculates the LQ of innovation output across the administrative regions in the AI industry. The results show that there are thirty-three cities...
Anshul Kundaje sums up his frustration with the use of artificial intelligence in science in three words: “bad benchmarks propagate”. Kundaje researches computational genomics at Stanford...
Many scholars have explored the applications of ML in the healthcare domain. Gilbert et al.7 discussed the use of AI and ML in healthcare and highlighted...
Artificial intelligence (AI) developers are shifting their focus to building agents that can operate independently, with little human intervention. To be an agent is to have...