The fields of machining learning and artificial intelligence are rapidly expanding, impacting
nearly every technological aspect of society. Many thousands of published manuscripts …

Abstract Mosquitoes (Diptera: Culicidae) comprise over 3500 global species, primarily in
tropical regions, where the females act as disease vectors. Thus, identifying medically …

We present a general nonlinear Bayesian filter for high-dimensional state estimation using
the theory of reproducing kernel Hilbert space (RKHS). By applying the kernel method and …

A novel insect sound recognition system using enhanced spectrogram and convolutional
neural network is proposed. Contrast-limit adaptive histogram equalization (CLAHE) is …

Artificial intelligence (AI) facilitates scientists to devise intelligent machines that work and
behave like humans to resolve difficulties and problems by utilizing minimal resources. The …

This paper presents a novel real-time dynamic framework for quantifying time-series
structure in spoken words using spikes. Audio signals are converted into multi-channel spike …

For several years, insect-borne diseases have been a major global concern. Countries with
warmer climates are these disease vectors primary victims. However, due to rising global …

In this paper, we propose a novel state-based approach to insect flight dynamics modeling
and automatic insect recognition (AIR). An emerging technology uses noninvasive laser …

With the increase in the world population, the demand for food is assuming unprecedented
proportions, and ensuring food security (capability to produce food and make it available to …

Despite the vast advancement in science and modern technology, disease carrying
mosquitoes are still hard to control and have caused damages, sufferings and deaths …