Raman spectroscopy is a powerful technique widely used in analytical chemistry. However,
spectral noise emerging during detection introduces potential to compromise the signal-to …

Climate variability, trend analysis, and accurate forecasting are vital in a country's effective
water resource management and strategic planning. Precipitation and temperature are …

Current wavelet thresholding methods for cardiogram signals captured by flexible wearable
sensors face a challenge in achieving both accurate thresholding and real-time signal …

Guided wave ultrasonic testing (GWUT) within the realm of pipeline inspection is an
efficacious approach; however, current GWUT systems are characterized by high costs and …

Since nitric oxide (NO), sulfur dioxide (SO 2), and ammonia (NH 3) in flue gas cause severe
air pollution, accurate measurements of their concentrations are crucial for optimizing the …

Drones are a promising technology performing various functions, ranging from aerial
photography to emergency response, requiring swift fault diagnosis methods to sustain …

Background With the increasing severity of global water pollution, accurate prediction
models of water pollution content are critical for effective environmental management …

Breast cancer has become the most common cancer in the world, and biopsy is the most
reliable and widely used technique for detecting breast cancer. However, observation of …

This work presents a leakage identification framework for the coal mine air supply pipeline
system based on joint noise reduction and extreme learning machine (ELM). First, leakage …

An adaptive finite impulse response (FIR) filter is a key technique to remove noise in non-
stationary signals. With the rapid development of the various adaptive algorithms, it is both …