Research Radar

Academic Publication • Published Apr 1, 2024

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment

Academic Publication • Published Apr 1, 2024

UAV-Assisted Task Offloading in Vehicular Edge Computing Networks

Academic Publication • Published Apr 1, 2024

A Comprehensive Survey on Community Detection With Deep Learning

Academic Publication • Published Apr 1, 2024

Deep Reinforcement Learning: A Survey

Academic Publication • Published Apr 1, 2024

Software Testing With Large Language Models: Survey, Landscape, and Vision

Academic Publication • Published Apr 1, 2024

Approximate Optimal Adaptive Prescribed Performance Control for Uncertain Nonlinear Systems With Feature Information

Academic Publication • Published Apr 1, 2024

Sensing-Assisted Eavesdropper Estimation: An ISAC Breakthrough in Physical Layer Security

Academic Publication • Published Apr 1, 2024

MIMO Capacity Characterization for Movable Antenna Systems

Academic Publication • Published Apr 1, 2024

Active-Passive IRS Aided Wireless Communication: New Hybrid Architecture and Elements Allocation Optimization

Academic Publication • Published Mar 28, 2024

THE ROLE OF AI IN MARKETING PERSONALIZATION: A THEORETICAL EXPLORATION OF CONSUMER ENGAGEMENT STRATEGIES

This paper explores the transformative potential of Artificial Intelligence (AI) in personalizing marketing strategies. It delves into the theoretical underpinnings of consumer engagement sand investigates how AI can be leveraged to develop target...

Academic Publication • Published Mar 24, 2024

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

We introduce Graph of Thoughts (GoT): a framework that advances prompting capabilities in large language models (LLMs) beyond those offered by paradigms such as Chain-of-Thought or Tree of Thoughts (ToT). The key idea and primary advantage of Go...

Academic Publication • Published Mar 24, 2024

Benchmarking Large Language Models in Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) is a promising approach for mitigating the hallucination of large language models (LLMs). However, existing research lacks rigorous evaluation of the impact of retrieval-augmented generation on different large ...

Academic Publication • Published Mar 24, 2024

T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models

The incredible generative ability of large-scale text-to-image (T2I) models has demonstrated strong power of learning complex structures and meaningful semantics. However, relying solely on text prompts cannot fully take advantage of the knowledge...

Academic Publication • Published Mar 23, 2024

A review of convolutional neural networks in computer vision

AbstractIn computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of deep convol...

Academic Publication • Published Mar 23, 2024

Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems

AbstractThis paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic optimization algorithm inspired by the migratory and predatory behavior of the black kite. The BKA integrates the Cauchy mutation strategy and the Leader str...

Academic Publication • Published Mar 18, 2024

Predicting the Performance and Adaptation of Artificial Elbow Due to Effective Forces using Deep Learning

Measuring power transmission in organs poses a significant challenge for researchers in the field, with various methods being explored, including the use of artificial intelligence algorithms. This study focused on developing a new neural network ...

Academic Publication • Published Mar 15, 2024

MADDPG-Based Joint Service Placement and Task Offloading in MEC Empowered Air–Ground Integrated Networks

Academic Publication • Published Mar 13, 2024

Evaluation metrics and statistical tests for machine learning

AbstractResearch on different machine learning (ML) has become incredibly popular during the past few decades. However, for some researchers not familiar with statistics, it might be difficult to understand how to evaluate the performance of ML mo...

Academic Publication • Published Unknown Date

Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction

Abstract Accurately modeling biomolecular interactions is a central challenge in modern biology. While recent advances, such as AlphaFold3 and Boltz-1, have substantially improved our ability to predict biomolecu...

Academic Publication • Published Unknown Date

Nano-optical wafers are produced using the nano-lithography process on wafers with a diameter of 100 or 150 mm. Nano-optical chips are created from small wafers