Expertini Research Research

Browse Research Papers

2,335+ open-access research outputs.

✕ Clear
🔍 artificial intelligence 📄 Peer-Reviewed
Showing 2335 results for "artificial intelligence" · Peer-Reviewed
Multidisciplinary & Other Peer-Reviewed PDF DOI

PersianQuAD: The Native Question Answering Dataset for the Persian Language

Arefeh Kazemi, Jamshid Mozafari, Mohammad Ali Nematbakhsh · 2022

Developing Question Answering systems (QA) is one of the main goals in Artificial Intelligence. With the advent of Deep Learning (DL) techniques, QA systems have witnessed significant advances. Althou…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Neural Network Approach to Program Synthesis for Tabular Transformation by Example

Yoshifumi Ujibashi, Atsuhiro Takasu · 2022

Data transformation is a laborious and time-consuming task for analysts. Programming by example (PBE) is a technique that can simplify this difficult task for data analysts by automatically generating…

Read Paper →
Multidisciplinary & Other Peer-Reviewed PDF DOI

CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People

Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee · 2022

Visually impaired persons (VIPs) comprise a significant portion of the population, and they are present around the globe and in every part of the world. In recent times, technology proved its presence…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Anti-Periodic Synchronization of Clifford-Valued Neutral-Type Recurrent Neural Networks With D Operator

Jin Gao, Lihua Dai · 2022

In this paper, a class of Clifford-valued neutral-type recurrent neural networks with D operator is explored. By using non-decomposition method and the Banach fixed point theorem, we obtain severa…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Comparative Study of Optimum Medical Diagnosis of Human Heart Disease Using Machine Learning Technique With and Without Sequential Feature Selection

Ghulab Nabi Ahmad, Shafi Ullah, Abdullah Algethami, Hira Fatima, Syed Md. Humayun Akhter · 2022

Predicting heart disease is regarded as one of the most difficult challenges in the health-care profession. To predict cardiac disease, researchers employed a variety of algorithms including LDA, RF, …

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey

Huiliang Zhang, Sayani Seal, Di Wu, Francois Bouffard, Benoit Boulet · 2022

Building energy management has been recognized as of significant importance on improving the overall system efficiency and reducing the greenhouse gas emission. However, the building energy management…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

State-Dependent Parameter Tuning of the Apparent Tardiness Cost Dispatching Rule Using Deep Reinforcement Learning

Byungwook Min, Chang Ouk Kim · 2022

The apparent tardiness cost (ATC) is a dispatching rule that demonstrates excellent performance in minimizing the total weighted tardiness (TWT) in single-machine scheduling. The ATC rule’s performanc…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Research and Embedded Implementation of Let-Off and Take-Up Dynamic Control Based on Fuzzy Neural Network and Vector Control Optimization

Yanjun Xiao, Xiaoliang Wang, Furong Han, Ping Liu, Yunfeng Jiang · 2022

This paper investigates the warp let-off and take-up mechanism of rapier looms to solve the problem that the warp tension of rapier looms fluctuates greatly and the warp let-off is difficult to mainta…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

An Accurate Matching Query Method of Natural Language Knowledge Graph Based on Hierarchical Graph Topological Sequence

Qifeng Zou, Chaoze Lu · 2022

In recent years, although the application of knowledge graph in natural language processing has made some progress, there are still some key problems to be solved, especially the matching query proble…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario

Aroosa Hameed, John Violos, Aris Leivadeas · 2022

As the number of Internet of Things (IoT) devices and applications increases, the capacity of the IoT access networks is considerably stressed. This can create significant performance bottlenecks in v…

Read Paper →
Computer Science Peer-Reviewed PDF DOI

Least Squares Generative Adversarial Networks-Based Anomaly Detection

Chang-Ki Lee, Yu-Jeong Cheon, Wook-Yeon Hwang · 2022

Multivariate statistical process control (MSPC) is a technique for detecting anomalies by monitoring several quality characteristics simultaneously. For the MSPC problem, the Hotelling’s T2 contro…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Deep Reinforcement Learning-Based Routing on Software-Defined Networks

Gyungmin Kim, Yohan Kim, Hyuk Lim · 2022

With an exponential increase in network traffic demands requiring quality of services, the need for routing optimization has become more prominent. Recently, the advent of software-defined networking …

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Occlusion Handling and Multi-Scale Pedestrian Detection Based on Deep Learning: A Review

Fang Li, Xueyuan Li, Qi Liu, Zirui Li · 2022

Pedestrian detection is an important branch of computer vision, and has important applications in the fields of autonomous driving, artificial intelligence and video surveillance. With the rapid devel…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding

Seongbin Oh, Dongseok Kwon, Gyuho Yeom, Won-Mook Kang, Soochang Lee, Sung Yun Woo, Jaehyeon Kim, Jong-Ho Lee · 2022

Hardware-based Spiking Neural Networks (SNNs) are regarded as promising candidates for the cognitive computing system due to its low power consumption and highly parallel operation. In this paper, we …

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Using HW/SW Codesign for Deep Neural Network Hardware Accelerator Targeting Low-Resources Embedded Processors

Erez Manor, Shlomo Greenberg · 2022

The usage of RISC-based embedded processors, aimed at low cost and low power, is becoming an increasingly popular ecosystem for both hardware and software development. High performance yet low power e…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

LOTR: Face Landmark Localization Using Localization Transformer

Ukrit Watchareeruetai, Benjaphan Sommana, Sanjana Jain, Pavit Noinongyao, Ankush Ganguly, Aubin Samacoits, Samuel W. F. Earp, Nakarin Sritrakool · 2022

This paper presents a novel Transformer-based facial landmark localization network named Localization Transformer (LOTR). The proposed framework is a direct coordinate regression approach leveraging a…

Read Paper →
Multidisciplinary & Other Peer-Reviewed PDF DOI

Feedback Control for QoS-Aware Radio Resource Allocation in Adaptive RAN

Haruhisa Hirayama, Yu Tsukamoto, Hiroyuki Shinbo · 2022

In order to meet the quality requirements of various communication services in the advanced 5G era around 2025, the authors have proposed an Adaptive radio access network (RAN) that changes the placem…

Read Paper →
Computer Science Peer-Reviewed PDF DOI

Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm

Olaide Nathaniel Oyelade, Absalom El-Shamir Ezugwu, Tehnan I. A. Mohamed, Laith Abualigah · 2022

Nature computing has evolved with exciting performance to solve complex real-world combinatorial optimization problems. These problems span across engineering, medical sciences, and sciences generally…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Toward Performing Image Classification and Object Detection With Convolutional Neural Networks in Autonomous Driving Systems: A Survey

Tolga Turay, Tanya Vladimirova · 2022

Nowadays Convolutional Neural Networks (CNNs) are being employed in a wide range of industrial technologies for a variety of sectors, such as medical, automotive, aviation, agriculture, space, etc. Th…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network

Akhilesh Kumar Sharma, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Radomir Gono, Zbigniew Leonowicz, Michal Jasinski · 2022

Skin cancer is caused due to unusual development of skin cells and deadly type cancer. Early diagnosis is very significant and can avoid some categories of skin cancers, such as melanoma and focal cel…

Read Paper →
Page 1 of 117 Next →