Search
Search Results
-
On the Use of Deep Learning Models for Automatic Animal Classification of Native Species in the Amazon
Camera trap image analysis, although critical for habitat and species conservation, is often a manual, time-consuming, and expensive task. Thus,...
-
Spatial Shrinkage Prior: A Probabilistic Approach to Model for Categorical Variables with Many Levels
One of the most commonly used methods to prevent overfitting and select relevant variables in regression models with many predictors is the penalized...
-
Efficient Motor Learning Through Action-Perception Cycles in Deep Kinematic Inference
How does the brain adapt to slow changes in the body’s kinematic chain? And how can it perform complex operations that need tool use? Here, we...
-
Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference
To adapt an autonomous system to a newly given cognitive goal, we propose a method to dynamically combine multiple perception-action loops. Focusing...
-
Contextual Qualitative Deterministic Models for Self-learning Embodied Agents
This work presents an approach for embodied agents that have to learn models from the least amount of prior knowledge, solely based on knowing which...
-
Development of Cost-Effective Water Quality Monitoring for Potable Drinking Water Using IoT
One of the main substances that significantly affects ecosystems is water. Unfortunately, with increased urbanization, sewage, abstraction of...
-
Efficient Quality Factor Prediction of Artificial Neural Network Based IsOWC System
This paper presents a novel approach utilizing an artificial neural network (ANN) for optical wireless communication (OWC) between satellites in...
-
Tunable UWB Metasurface Absorber for Smart City Compatible IoT Applications
This work presents an ultra-wideband tunable graphene-based metasurface absorber for the terahertz (THz) gap region of the electromagnetic (EM)...
-
IoT-Based Hi-Tech Battery Charger for Modern EVs
These days, we find many batteries used in Electric Vehicles are burning or blasting due to overcharging or long time charging. During such...
-
Comparative Analysis of PWM Methods for Three Level Neutral Point Clamped Inverter
In present scenario renewable energy sources are crucial and they taking lead to supply power to the consumers. These renewable energy sources mostly...
-
Implementation and Performance Evaluation of Asymmetrical Encryption Scheme for Lossless Compressed Grayscale Images
The employment of compression and encryption methods enables the transmission of images across a communication link with less bandwidth consumption...
-
Model Predictive Control (MPC) and Proportional Integral Derivative Control (PID) for Autonomous Lane Kee** Maneuvers: A Comparative Study of Their Efficacy and Stability
The escalating frequency of fatal crashes has led to an enhanced focus on road safety, resulting in the creation of diverse driver assistance...
-
Investigation of Highly Sensitive and Linearly Responsive SAW Based Gas Sensor for Better N2 Detection
Surface acoustic wave sensors are becoming more and more essential in research. The research has advanced in such a way that SAW sensors are now used...
-
Automatic Safety and Monitoring System Using ESP 8266 with Cloud Platform
Ensuring the well-being of workers, particularly at the production line level, is a top priority for organizations across all industries. This...
-
Area Efficient and Ultra Low Power Full Adder Design Based on GDI Technique for Computing Systems
The relevance of ultra-low-voltage (ULV) operation for attaining minimal energy usage has increased recently. The fundamental building element of...
-
LUT-Based Area-Optimized Accurate Multiplier Design for Signal Processing Applications
Multipliers play a role in various aspects of smart cities, which can be used in many applications like Traffic management, energy management and...
-
IoT-Based Pesticide Detection in Fruits and Vegetables Using Hyperspectral Imaging and Deep Learning
Fruits and vegetables contain rich nutrients and vitamins. So that they are part of our daily diet. For proper cell growth and health, we need these...
-
Optimized Route Planning and Precise Circle Detection in Unmanned Aerial Vehicle with Machine Learning
This research paper presents a distributed architecture for optimized route planning and precise circle detection in unmanned aerial vehicle with...
-
Comparative Analysis of Uppaal SMC, ns-3 and MATLAB/Simulink
IoT networks connect everyday devices to the internet to communicate with one another and humans. It is more cost-effective to analyse and verify the...
-
Machine Learning Data Suitability and Performance Testing Using Fault Injection Testing Framework
Creating resilient machine learning (ML) systems has become necessary to ensure production-ready ML systems that acquire user confidence seamlessly....