Search Results - "Journal of ambient intelligence and humanized computing"

The impact of 5G on the evolution of intelligent automation and industry digitization by Attaran, Mohsen

“…The mobile industry is developing and preparing to deploy the fifth-generation (5G) networks. The evolving 5G networks are becoming more readily available as a…”
Get full text

Remote patient monitoring: a comprehensive study by Malasinghe, Lakmini P., Ramzan, Naeem, Dahal, Keshav

“…Healthcare is a field that is rapidly developing in technology and services. A recent development in this area is remote monitoring of patients which has many…”
Get full text

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function by Mishra, Arunodaya Raj, Rani, Pratibha, Pandey, Kiran

“…In today’s world, the demand for sustainable third-party reverse logistics providers (S3PRLPs) becomes an increasingly considerable issue for industries…”
Get full text

Transfer learning for image classification using VGG19: Caltech-101 image data set by Bansal, Monika, Kumar, Munish, Sachdeva, Monika, Mittal, Ajay

“…Image classification is getting more attention in the area of computer vision. During the past few years, a lot of research has been done on image…”
Get full text

Deep learning-based classification model for botnet attack detection by Ahmed, Abdulghani Ali, Jabbar, Waheb A., Sadiq, Ali Safaa, Patel, Hiran

“…Botnets are vectors through which hackers can seize control of multiple systems and conduct malicious activities. Researchers have proposed multiple solutions…”
Get full text

Detecting crypto-ransomware in IoT networks based on energy consumption footprint by Azmoodeh, Amin, Dehghantanha, Ali, Conti, Mauro, Choo, Kim-Kwang Raymond

“…An Internet of Things (IoT) architecture generally consists of a wide range of Internet-connected devices or things such as Android devices, and devices that…”
Get full text

Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images by Gianchandani, Neha, Jaiswal, Aayush, Singh, Dilbag, Kumar, Vijay, Kaur, Manjit

“…The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes novel coronavirus disease (COVID-19) outbreak in more than 200 countries around the…”
Get full text

A trust-based collaborative filtering algorithm for E-commerce recommendation system by Jiang, Liaoliang, Cheng, Yuting, Yang, Li, Li, Jing, Yan, Hongyang, Wang, Xiaoqin

“…The rise of e-commerce has not only given consumers more choice but has also caused information overload. In order to quickly find favorite items from vast…”
Get full text

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda by Kumar, Yogesh, Koul, Apeksha, Singla, Ruchi, Ijaz, Muhammad Fazal

Get full text

A new approach to q-linear Diophantine fuzzy emergency decision support system for COVID19 by Almagrabi, Alaa O., Abdullah, Saleem, Shams, Maria, Al-Otaibi, Yasser D., Ashraf, Shahzaib

“…The emergency situation of COVID-19 is a very important problem for emergency decision support systems. Control of the spread of COVID-19 in emergency…”
Get full text

T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making by Garg, Harish, Ullah, Kifayat, Mahmood, Tahir, Hassan, Nasruddin, Jan, Naeem

“…The paper aims to present the concept of power aggregation operators for the T-spherical fuzzy sets (T-SFSs). T-SFS is a powerful concept, with four membership…”
Get full text

Novel encryption for color images using fractional-order hyperchaotic system by Hosny, Khalid M., Kamal, Sara T., Darwish, Mohamed M.

“…The fractional-order functions show better performance than their corresponding integer-order functions in various image processing applications. In this…”
Get full text

Complex fermatean fuzzy N-soft sets: a new hybrid model with applications by Akram, Muhammad, Amjad, Umaira, Alcantud, José Carlos R., Santos-García, Gustavo

“…Decision-making methods play an important role in the real-life of human beings and consist of choosing the best options from a set of possible choices. This…”
Get full text

Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques by Goyal, Shimpy, Singh, Rajiv

“…Since the arrival of the novel Covid-19, several types of researches have been initiated for its accurate prediction across the world. The earlier lung disease…”
Get full text

Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory by Fraiwan, M., Fraiwan, L., Alkhodari, M., Hassanin, O.

“…In this paper, a study is conducted to explore the ability of deep learning in recognizing pulmonary diseases from electronically recorded lung sounds. The…”
Get full text

Classification and yield prediction in smart agriculture system using IoT by Gupta, Akanksha, Nahar, Priyank

“…The modern agriculture industry is data-centred, precise and smarter than ever. Advanced development of Internet-of-Things (IoT) based systems redesigned…”
Get full text

A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection by Mishra, Arunodaya Raj, Rani, Pratibha

“…The necessity and policy of eco-economy stimulate enterprises to attain sustainability by executing supply chain management. Generally, the evaluation process…”
Get full text

New theoretical ISM-K2 Bayesian network model for evaluating vaccination effectiveness by Xie, Xiaoliang, Xie, Bingqi, Xiong, Dan, Hou, Muzhou, Zuo, Jinxia, Wei, Guo, Chevallier, Julien

“…Aiming at the difficulty in obtaining a complete Bayesian network (BN) structure directly through search-scoring algorithms, authors attempted to incorporate…”
Get full text

SD-IoV: SDN enabled routing for internet of vehicles in road-aware approach by Abbas, Muhammad Tahir, Muhammad, Afaq, Song, Wang-Cheol

“…Proposing an optimal routing protocol for internet of vehicles with reduced overhead has endured to be a challenge owing to the incompetence of the current…”
Get full text

Multi-modality medical image fusion technique using multi-objective differential evolution based deep neural networks by Kaur, Manjit, Singh, Dilbag

“…The advancements in automated diagnostic tools allow researchers to obtain more and more information from medical images. Recently, to obtain more informative…”
Get full text