Machine learning and the digital measurement of psychological health

IR Galatzer-Levy, JP Onnela - Annual Review of Clinical …, 2023 - annualreviews.org
Since its inception, the discipline of psychology has utilized empirical epistemology and
mathematical methodologies to infer psychological functioning from direct observation. As …

A systematic mapping study on the employment of neural networks on software engineering projects: Where to go next?

RA dos Santos, D Vieira, A Bravo… - Journal of Software …, 2022 - Wiley Online Library
Deep learning has recently experienced explosive growth in use, largely due to advances in
neural networks and the availability of large corpora of domain data. Project management …

Design and evaluation of a new machine learning framework for IoT and embedded devices

G Cornetta, A Touhafi - Electronics, 2021 - mdpi.com
Low-cost, high-performance embedded devices are proliferating and a plethora of new
platforms are available on the market. Some of them either have embedded GPUs or the …

Artificial intelligence and machine learning applications in cloud computing and Internet of Things

M Rath, J Satpathy, GS Oreku - … intelligence to solve pervasive internet of …, 2021 - Elsevier
In today's technological scenario, artificial intelligence (AI) has predominantly taken over the
charge of decision making in various sectors of business and advanced knowledge oriented …

Realization of business intelligence using machine learning

M Rath - Internet of Things in Business Transformation …, 2021 - Wiley Online Library
Progressive organizations largely depend on Business Intelligence software to predict
market situation and business analysis. Technologies that involve Business intelligence can …

Adversarial artificial intelligence assistance for secure 5G-enabled IoT

MH Bohara, K Patel, A Saiyed, A Ganatra - … for 5G-Enabled IoT: The new …, 2021 - Springer
Abstract Recently, the fifth-generation (5G) communication network added the advancement
in capability of network which increases Internet traffic in the world as well as increases the …

Decision-making under uncertainty for the deployment of future hyperconnected networks: A survey

N Alzate-Mejia, G Santos-Boada… - Sensors, 2021 - mdpi.com
Among the several emerging dimensioning, control and deployment of future
communication network paradigms stands out the human-centric characteristic that creates …

Disrupting audio event detection deep neural networks with white noise

R dos Santos, A Kassetty, S Nilizadeh - Technologies, 2021 - mdpi.com
Audio event detection (AED) systems can leverage the power of specialized algorithms for
detecting the presence of a specific sound of interest within audio captured from the …

Lora transmission power self con? guration for low power end devices

A Gloria, C Dionisio, G Simões… - 2019 22nd international …, 2019 - ieeexplore.ieee.org
This paper introduces a new way of creating a self-configurable LoRa end device in order to
achieve a better efficiency in terms of power consumption. The correct configuration of LoRa …

A Survey on Machine learning and IoT

IR Hardini - ITEJ (Information Technology Engineering Journals), 2019 - syekhnurjati.ac.id
Internet of Things is an intelligence devices that can connect to any other devices. Based on
that ability to connect and its intelligence, it makes people to create an intelligence device …