Deep learning techniques are based on neural networks, sometimes referred to as artificial neural networks (ANNs) or simulated neural networks (SNNs), which are a subset of machine learning. Their structure and nomenclature are modelled after the human brain, mirroring the communication between organic neurons. A node layer, which includes an input layer, one or more hidden layers, and an output layer, makes up artificial neural networks. Each node, or artificial neuron, is connected to others and has a weight and threshold that go along with it. Any node whose output exceeds the defined threshold value is activated and begins providing data to the network's uppermost layer. Otherwise, no data is sent to the network's next tier.
Title : Environmental Public Health Impact Assessment (EHIA) process for tobacco processing plants
Vijayan Gurumurthy Iyer, Techno-Economic- Environmental Study and Check Consultancy Services, India
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model to secure the human healthcare, wellness and biosafety through the view of public health, network-driven healthcare services and lifestyle management
Sergey Suchkov, National Center for Human Photosynthesis, Mexico
Title : Spillover at the edge: Mapping zoonotic disease risk in the wildland-urban interface
Roman Sharnuud, University of Tennessee, United States
Title : Confidence as care: Empowering underrepresented voices in public health leadership and community engagement
Sheena Yap Chan, The Tao of Self-Confidence, Canada
Title : Innovative approaches in public health leadership: Empowering communities for resilient health systems
Mohammad Kamal Hussain, Umm Al-Qura University, Saudi Arabia
Title : Future medical professionals on health system in Poland - medical universities students opinion
Izabela Rydlewska Liszkowska, Medical University, Poland