Results 11 to 20 of about 57,627 (118)

Revolutionizing decision-making: How retailers can harness the potential of avatars in augmented reality to enrich the customer experience?

Cogent Business & Management
The study examines the impact of Augmented Reality (AR) attributes on customer experience and purchase intention in the retail industry. The study employs a theoretical framework rooted in the Technology Acceptance Model and Stimulus-organism-response ...
Prasun Gahlot, Komal Suryavanshi, Aradhana Gandhi   +2 more
doaj   +1 more source

Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction

Scientific Reports
Effective treatment for brain tumors relies on accurate detection because this is a crucial health condition. Medical imaging plays a pivotal role in improving tumor detection and diagnosis in the early stage.
D. Vamsidhar, Parth Desai, Sagar Joshi, Shrikrishna Kolhar, Nilkanth Deshpande, Shilpa Gite   +5 more
doaj   +1 more source

Improving Predictive Performance in Telecom Churn Modeling with Hybrid SMOTE and GAN-Based Synthetic Data Generation

International Journal of Computational Intelligence Systems
Customer churn prediction remains one of the most significant challenges in the telecommunications industry, where retaining existing customers is more cost-effective than acquiring new ones.
Renuka Agrawal, Safa Hamdare, Divyanshu Ghosh, Kaustubh Ghenand, Tawishi Gupta, Prisha Patel, Sakshi Chauhan, Sanika Upasani, Pratyush Agrawal   +8 more
doaj   +1 more source

Patent landscape analysis on the use of artificial intelligence in carbon capture and utilization technologies

Discover Sustainability
Rising global carbon dioxide (CO2) levels, driven by industrialization and fossil fuel use, significantly contribute to climate change. CO2 capture technologies are essential to mitigate greenhouse gas emissions, stabilize global temperatures, and meet ...
Supriya Gandhale, Shashwati Wankar, Sanjay Pohekar, Atul Kulkarni, Om Prakash, Yogesh Patil, Satish Kumar, Anand Shindikar   +7 more
doaj   +1 more source

Multimodal machine learning for deception detection using behavioral and physiological data

Scientific Reports
Deception detection is crucial in domains like national security, privacy, judiciary, and courtroom trials. Differentiating truth from lies is inherently challenging due to many complex, diversified behavioural, physiological and cognitive aspects ...
Gargi Joshi, Vaibhav Tasgaonkar, Aditya Deshpande, Aditya Desai, Bhavya Shah, Akshay Kushawaha, Aadith Sukumar, Kermi Kotecha, Saumit Kunder, Yoginii Waykole, Harsh Maheshwari, Abhijit Das, Shubhashi Gupta, Akanksha Subudhi, Priyanka Jain, N. K. Jain, Rahee Walambe, Ketan Kotecha   +17 more
doaj   +1 more source

Graph neural network-based remaining useful life prediction of milling tools using multi-sensor data

Discover Applied Sciences
Forecasting the Remaining Useful Life (RUL) of cutting tools plays a key role in intelligent predictive maintenance and downtime reduction in today’s manufacturing.
Satish Kumar, Dhruvi Ramaiya, Sameer Sayyad, Arunkumar Bongale, Vivek Warke, Vaibhav Joshi   +5 more
doaj   +1 more source

Acute Myeloid Leukemia subtype classification using single blood cell images

Discover Oncology
Acute Myeloid Leukemia (AML) is a heterogeneous cancer that affects the myeloid lineage of blood cells. It requires accurate subtype identification for effective treatment.
Rhea Chainani, Ramitha Vimala, Sakshi Sah, Saharsh Mehrotra, Nilkanth Deshpande   +4 more
doaj   +1 more source

Rose leaf disease classification and severity estimation using an interpretable vision transformer-based multi-task framework

BMC Plant Biology
This study proposes RoViT-KAN, a multi-task deep learning framework for plant disease classification, severity estimation, and uncertainty quantification.
Nishit Bohra M, Avantika R. Patil, Omkar H. Thorve, Aniket K. Shahade, Priyanka V. Deshmukh, Shruti Patil, Ketan Kotecha   +6 more
doaj   +1 more source

Review: missed tuberculosis cases in India: a systematic analysis of diagnostic, treatment, and reporting gaps

BMC Health Services Research
Background India aims to eliminate tuberculosis (TB) by 2025. Despite ongoing efforts to transform TB care, numerous factors contribute to the persistence of missing cases in India.
Rechel Shrisunder, Manesh Muraleedharan, Sammita Jagdish Jadhav, Dwight Figueiredo   +3 more
doaj   +1 more source

Quantification of Sugarcane Crop Water Footprint Using Remote Sensing and Machine Learning Techniques: Case Study of Kolhapur District, Maharashtra, India [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Water footprint (WF) analysis assists in measuring the freshwater utilized by the crops, which provides information regarding sustainable water utilization.
S. Jadhav, S. K. Shah, V. Kumbhar, T. P. Singh   +3 more
doaj   +1 more source