This paper offers a review of the artificial intelligence (AI) algorithms and applications
presently being used for smart machine tools. These AI methods can be classified as …

This new edition of the bestselling Measurement, Instrumentation, and Sensors Handbook
brings together all aspects of the design and implementation of measurement …

This paper presents a network for indoor and outdoor air quality monitoring. Each node is
installed in a different room and includes tin dioxide sensor arrays connected to an …

This paper focuses on the use of AI in various MEMS (Micro-Electro-Mechanical System)
biosensor types. Al increases the potential of Micro-Electro-Mechanical System biosensors …

Floods are the most common type of natural disaster, often leading to loss of lives and
properties in the thousands yearly. Among these events, urban flash floods are particularly …

Theoretical analysis in this paper indicates that the accuracy of a silicon piezoresistive
pressure sensor is mainly affected by thermal drift, and varies nonlinearly with the …

Instrument Engineers' Handbook, Third Edition: Volume Three: Process Software and Digital
Networks provides an in-depth, state-of-the-art review of existing and evolving digital …

There are no rules to select the best curve-fitting method for a given set of data. This problem
is of great importance in measurement applications. Optimizing analog and digital methods …

The node of a wireless sensor network (WSN), which contains a sensor module with one or
more physical sensors, may be exposed to widely varying environmental conditions, eg …

Porous silicon based micro-machined peizoresistive pressure sensors are fabricated and
tested in the range of 0–1bar and temperature range of 25–80° C. The dependence of …