Abstract: In this paper, an encoder-decoder structured multi-layer perceptron-sequential (MLP-SEQ) networks are proposed to model high-speed differential vias for estimating differential insertion ...

Predict appliance energy consumption (Wh) from indoor sensor readings and outdoor weather data. Estimate the number of occupants in a room (0–3 people) from multi-modal IoT sensor streams. Implements ...

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 AI that can see and understand what's happening in a video — especially a live feed — is understandably an attractive product to lots of ...

Perceptron AI today announced the launch of its model purpose-built for video understanding and embodied reasoning. It delivers performance competitive with leading frontier models – including Google, ...

Abstract: This study compares ML/DL-based path loss prediction models using empirically measured data while accounting for regional nonlinear propagation characteristics. Multivariable Linear ...

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...

To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study explores the development of two predictive models for the yield sooting ...

This study refines the gravity anomaly model derived from altimetry data by employing a multilayer perceptron (MLP) neural network to integrate multi-source geophysical data (longitude, latitude, ...

Hint: For regression, we use linear activations for output neurons. An MLP is demonstrated in the following figure: An MLP is composed of one input layer, one output layer, and one or more hidden ...

The rising popularity of electric vehicles (EVs) is driving a transition in transportation toward electric vehicles (EVs), which presents both opportunities and problems for energy management systems.