Introduction The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy—most notably ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Abstract: This paper presents the development of an early detection system for peatland fires utilizing a quadcopter equipped with an infrared camera. The autonomous operation system is capable of ...
Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to adaptive firewalls, AI is reshaping the balance of power between attackers ...
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
Abstract: An Intrusion Detection System (IDS) is considered to identify system attacks and distinguish between normal and abnormal activities. Machine Learning (ML) techniques are enabled to IDS which ...
SALT LAKE CITY — A pair of Utah lawmakers in Washington are pushing to amend a nearly 30-year-old law governing online communications to hold technology companies accountable for harms caused by ...
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