Contact Us - Divers Alert Network
DAN helps divers in need of medical emergency assistance and promotes dive safety through research, education, products and services.
Image Processing Failure and Deep Learning Success in Lawn Measurement
Lawn area measurement is an application of image processing and deep learning. Researchers have been used hierarchical networks, segmented images and many other methods to measure lawn area. Methods effectiveness and accuracy varies. In this project...
Uncertain Congestion Games with Assorted Human Agent Populations
Congestion games model a wide variety of real-world resource congestion problems, such as selfish network routing, traffic route guidance in congested areas, taxi fleet optimization and crowd movement in busy areas. However, existing research in cong...
Richard B. Freeman - Wikipedia
Engineering Workforce Project (SEWP) at the National Bureau of Economic Research (NBER), a network focused on the economics of science, technical, engineering,
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices
EdgeAI (Edge computing based Artificial Intelligence) has been most actively researched for the last few years to handle variety of massively distributed AI applications to meet up the strict latency requirements. Meanwhile, many companies have relea...
SEA-LION: Southeast Asian Languages in One Network
Recently, Large Language Models (LLMs) have dominated much of the artificial intelligence scene with their ability to process and generate natural languages. However, the majority of LLM research and development remains English-centric, leaving low-r...
Contact Us - Divers Alert Network
DAN helps divers in need of medical emergency assistance and promotes dive safety through research, education, products and services.
Real-time optimal control via Deep Neural Networks: study on landing problems
Recent research on deep learning, a set of machine learning techniques able to learn deep architectures, has shown how robotic perception and action greatly benefits from these techniques. In terms of spacecraft navigation and control system, this su...
Performance Estimation of Container-Based Cloud-to-Fog Offloading
Fog computing offloads latency critical application services running on the Cloud in close proximity to end-user devices onto resources located at the edge of the network. The research in this paper is motivated towards characterising and estimating...
UCLA Ranked #3 on the McIllece Sports Transfer Portal Top 20
Not an expert on how this ranking is different from the 247 Sports and On3 rankings, but from the small research I’ve done, the McIllece Sports raking - based off the “positive net value of player...
hyper07/Deep-Learning-LLM-Wounded-Treatment
This project is a Deep Learning-based Medical Imaging Platform designed to assist clinicians and researchers in analyzing wound images. It combines state-of-the-art Convolutional Neural Networks (CNNs) for multi-class classification with Vector Similarity Search to retrieve visua…
A Deep Conditioning Treatment of Neural Networks (Google Research)
Points: 2 | Comments: 0 | Author: Katydid
microsoft/CyberBattleSim
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments. (⭐ 1757)
Friends Reunited - Wikipedia
Friends Reunited was a portfolio of social networking websites based upon the themes of reunion with research, dating and job-hunting. The first and eponymous
The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries
The NetMob24 dataset offers a unique opportunity for researchers from a range of academic fields to access comprehensive spatiotemporal data sets spanning four countries (India, Mexico, Indonesia, and Colombia) over the course of two years (2019 and...
Multimodal Fusion Based Attentive Networks for Sequential Music Recommendation
Music has the power to evoke intense emotional experiences and regulate the mood of an individual. With the advent of online streaming services, research in music recommendation services has seen tremendous progress. Modern methods leveraging the lis...
Branching Fixed Effects: A Proposal for Communicating Uncertainty
Economists often rely on estimates of linear fixed effects models produced by other teams of researchers. Assessing the uncertainty in these estimates can be challenging. I propose a form of sample splitting for networks that partitions the data into...
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Auto…
Recent works have shown that neural networks are vulnerable to carefully crafted adversarial examples (AE). By adding small perturbations to input images, AEs are able to make the victim model predicts incorrect outputs. Several research work in adve...
Imitation Learning for Obstacle Avoidance Using End-to-End CNN-Based Sensor Fusion
Obstacle avoidance is crucial for mobile robots' navigation in both known and unknown environments. This research designs, trains, and tests two custom Convolutional Neural Networks (CNNs), using color and depth images from a depth camera as inputs....
Real-Time Obstacle Avoidance for a Mobile Robot Using CNN-Based Sensor Fusion
Obstacle avoidance is a critical component of the navigation stack required for mobile robots to operate effectively in complex and unknown environments. In this research, three end-to-end Convolutional Neural Networks (CNNs) were trained and evaluat...