Browsing by Subject "Artificial Intelligence"
Now showing items 1-6 of 6
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Artificial intelligence: challenges and benefits for business
(14th International Scientific Conference “Business and Management 2024”, 2024)The paper aims to explore the benefits and challenges that artificial intelligence (AI) brings to business. The performed tasks are related to: (1) an a priori study of literary sources focused on the positive and negative ... -
Assessing and managing business risks for Artificial Intelligence based business process automation
(International Scientific Conference „Contemporary Issues in Business, Management and Economics Engineering ‘2019“, 2019)Purpose – the number of projects and amount of investment into Artificial Intelligence (AI) based business process automation is increasing. To utilize the power of AI, business organizations shall achieve a certain level ... -
Cacao Pod Infection Level Classification Using Transfer Learning
(2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)This research aims to address the constant threat to cacao farming, particularly from diseases like black pod rot, by utilizing Artificial Intelligence (AI) and Deep Learning algorithms. An experimental research design ... -
Enhancing Mango Leaf Disease Diagnosis Using Convolutional Neural Networks
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Mango leaf diseases significantly impact crop yield and quality, necessitating early and accurate detection for effective management. This study explores deep learning-based classification using MobileNetV3Small and ... -
Influence of AI-generated avatars on consumer trust in the brand
(14th International Scientific Conference “Business and Management 2024”, 2024)Artificial intelligence is emerging in almost every aspect of consumer life, making AI-powered content generation a significant brand marketing tool. Avatars are one of the AI-powered tools that are changing the way consumers ... -
Performance Analysis of Different ANN-based Weight Updating Algorithms in Forecasting Short-Term Load Demands in Cluster Microgrids
(2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)In today's deregulated energy markets, artificial intelligence (AI) and machine learning (ML) methods are frequently employed for estimating short-term load demand. Out of all the AI/ML techniques available, Artificial ...
