Electronic Engineering and Computer Science: Recent submissions
Now showing items 21-40 of 3490
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Robot public speakers' effect on audience affective reaction and attention allocation
(2022-07-01)Social robots delivering public speeches have a wide range of practical applications as stand-ins for educators, experts, or entertainers. The goal of our work is to investigate how a social robot should be programmed to ... -
Accelerated Discovery of Perovskite Solid Solutions through Automated Materials Synthesis and Characterization
Accelerating perovskite solid solution discovery and sustainable synthesis is crucial for addressing challenges in wireless communication and biosensors. However, the vast array of chemical compositions and their dependence ... -
A Mapping Strategy for Interacting with Latent Audio Synthesis Using Artistic Materials
This paper presents a mapping strategy for interacting with the latent spaces of generative AI models. Our approach involves using unsupervised feature learning to encode a human control space and mapping it to an audio ... -
Computing: Looking Back and Moving Forward
(SCITEPRESS - Science and Technology Publications, 2024-07-15)The Internet and computer commercialization have transformed the computing systems area over the past sixty years, affecting society. Computer systems have evolved to meet diverse social needs thanks to technological ... -
Real-time Timbre Remapping with Differentiable DSP
Timbre is a primary mode of expression in diverse musical contexts. However, prevalent audio-driven synthesis methods predominantly rely on pitch and loudness envelopes, effectively flattening timbral expression from the ... -
Improved Fine-Tuning by Better Leveraging Pre-Training Data
(2022-01-01)As a dominant paradigm, fine-tuning a pre-trained model on the target data is widely used in many deep learning applications, especially for small data sets. However, recent studies have empirically shown that training ... -
Retrieval-Augmented Multiple Instance Learning
(2023-01-01)Multiple Instance Learning (MIL) is a crucial weakly supervised learning method applied across various domains, e.g., medical diagnosis based on whole slide images (WSIs). Recent advancements in MIL algorithms have yielded ... -
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
(2023-07-13)Convolutional neural networks (CNNs) are used in our daily life, including self-driving cars, virtual assistants, social network services, healthcare services, and face recognition, among others. However, deep CNNs demand ... -
A Machine learning method to evaluate and improve sound effects synthesis model design
(Audio Engineering Society, 2024-04-27)Procedural audio models have great potential in sound effects production and design, they can be incredibly high quality and have high interactivity with the users. However, they also often have many free parameters that ... -
Smart Data Harvesting in Cache-Enabled MANETs: UAVs, Future Position Prediction, and Autonomous Path Planning
(Canadian Science Publishing, 2024-07-17)The task of gathering data from nodes within mobile ad-hoc wireless sensor networks presents an enduring challenge. Conventional strategies employ customized routing protocols tailored to these environments, with research ... -
Artistic neural style transfer using CycleGAN and FABEMD by adaptive information selection
(Elsevier, 2023-11-28)Neural Style Transfer (NST) comprises a class of computer vision methods that manipulate digital images to reformulate the visual content of one input image adopting visual features of an another image set. Artistic NST ... -
Low-Light Image Enhancement Based on U-Net and Haar Wavelet Pooling
(Springer, 2023-03-31)The inevitable environmental and technical limitations of image capturing has as a consequence that many images are frequently taken in inadequate and unbalanced lighting conditions. Low-light image enhancement has been ... -
Factors Affecting the Adoption of Cloud for Software Development: A Case from Turkey
(World Scientific Publishing, 2023-07-04)Cloud-based solutions for software development activities have been emerging in the last decade. This study aims to develop a hybrid technology adoption model for cloud use in software development activities. It is based ...