Entrepreneurship Trends. How the Future Looks Like [PDF]
The fast-pacing development of disruptive technologies like Industry 4.0, AI, chat-GPT, etc., state the scene for new entrepreneurial trends. Present paper uses qualitative analysis method to achieve the objective of determining Entrepreneurship Trends.
Margareta Ilie , Constantin Ilie
doaj
On Enhancing Security for Division Homomorphism with ElGamal
Secure auctions and machine learning in cloud increasingly employs multi-party and homomorphic encryption support. A modification to Elgamal public key cryptosystem was shown to enable homomorphic division using an encoding of plaintext as fractions with
Marius Silaghi, Ameerah Alsulami
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Neoantigen cancer vaccines: a new star on the horizon
Immunotherapy represents a promising strategy for cancer treatment that utilizes immune cells or drugs to activate the patient’s own immune system and eliminate cancer cells.
Xiaoling Li +5 more
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The use of fuzzy logic in the decision-making process regarding the use of outsourcing in companies
Objectives The study aimed to propose a fuzzy logic system solution as a tool to support the decision to implement outsourcing in companies, taking into account the fundamental factors of the concept.
Michał Cioch, Monika Kulisz
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Leveraging artificial intelligence to meet the sustainable development goals
Aim/purpose – This study aims to identify the role of Artificial Intelligence (AI) in achieving the Sustainable Development Goals (SDGs), with specific reference to their targets, and to present good practices in this regard.
Ziemba Ewa Wanda +9 more
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Digital Governance in Local Public Administration: Between Transparency and Hypercontrol [PDF]
This paper explores the complex dynamics of digital governance within local public administration, emphasizing how technological innovation simultaneously enhances transparency and enables new forms of algorithmic control. Focusing on municipalities in
Alecsandra Andreea Burcea (Scintee)
doaj
Pulmonary Nodule Screening and Qualitative Diagnosis Based on Deep Learning
Objective To explore the clinical application value of deep learning-based artificial intelligence (AI) in the detection and related quantitative measurement of pulmonary nodules.
ZHANG Zhenghua +5 more
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Computer-Aided Decision Support System for Diagnosis of Heart Diseases
Gizeaddis Lamesgin Simegn,1 Worku Birhanie Gebeyehu,2 Mizanu Zelalem Degu2 1School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia; 2Faculty of Computing, Jimma Institute of Technology, Jimma University, Jimma,
Simegn GL, Gebeyehu WB, Degu MZ
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ASSESSING THE DETERMINANTS OF PERFORMANCE IN WASTE RECYCLING COMPANIES IN THE CONTEXT OF INDUSTRY 4.0: AN ANALYTICAL APPROACH. [PDF]
This article analyzes the key factors that influence the performance of a production process in recycling plants as well as the unexpected results obtained by integrating advanced technologies.
Andreea Gabriela Tănase +4 more
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Using Deep Learning Technology for Real-Time Sign Language Detection and Recognition at Public Libraries in Egypt. [PDF]
Sign Language is the most expressive way for communication between deaf and hearing-impaired people, where information is majorly conveyed through the hand gestures.
مؤمن سيد
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