Search Results - "Complex & intelligent systems"

Feature dimensionality reduction: a review by Jia, Weikuan, Sun, Meili, Lian, Jian, Hou, Sujuan

“…As basic research, it has also received increasing attention from people that the “curse of dimensionality” will lead to increase the cost of data storage and…”
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On some distance measures of complex Pythagorean fuzzy sets and their applications in pattern recognition by Ullah, Kifayat, Mahmood, Tahir, Ali, Zeeshan, Jan, Naeem

“…The concept of complex fuzzy set (CFS) and complex intuitionistic fuzzy set (CIFS) is two recent developments in the field of fuzzy set (FS) theory. The…”
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Brain tumor detection and classification using machine learning: a comprehensive survey by Amin, Javaria, Sharif, Muhammad, Haldorai, Anandakumar, Yasmin, Mussarat, Nayak, Ramesh Sundar

“…Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial phase, it may lead to death. Despite many significant efforts…”
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Deep learning based brain tumor segmentation: a survey by Liu, Zhihua, Tong, Lei, Chen, Long, Jiang, Zheheng, Zhou, Feixiang, Zhang, Qianni, Zhang, Xiangrong, Jin, Yaochu, Zhou, Huiyu

“…Brain tumor segmentation is one of the most challenging problems in medical image analysis. The goal of brain tumor segmentation is to generate accurate…”
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A decision support system for multimodal brain tumor classification using deep learning by Sharif, Muhammad Imran, Khan, Muhammad Attique, Alhussein, Musaed, Aurangzeb, Khursheed, Raza, Mudassar

“…Multiclass classification of brain tumors is an important area of research in the field of medical imaging. Since accuracy is crucial in the classification, a…”
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ETHOS: a multi-label hate speech detection dataset by Mollas, Ioannis, Chrysopoulou, Zoe, Karlos, Stamatis, Tsoumakas, Grigorios

“…Online hate speech is a recent problem in our society that is rising at a steady pace by leveraging the vulnerabilities of the corresponding regimes that…”
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Hand gesture classification using a novel CNN-crow search algorithm by Gadekallu, Thippa Reddy, Alazab, Mamoun, Kaluri, Rajesh, Maddikunta, Praveen Kumar Reddy, Bhattacharya, Sweta, Lakshmanna, Kuruva, M, Parimala

“…Human–computer interaction (HCI) and related technologies focus on the implementation of interactive computational systems. The studies in HCI emphasize on…”
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A review of energy-efficient scheduling in intelligent production systems by Gao, Kaizhou, Huang, Yun, Sadollah, Ali, Wang, Ling

“…Recently, many manufacturing enterprises pay closer attention to energy efficiency due to increasing energy cost and environmental awareness. Energy-efficient…”
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Overview and methods of correlation filter algorithms in object tracking by Liu, Shuai, Liu, Dongye, Srivastava, Gautam, Połap, Dawid, Woźniak, Marcin

“…An important area of computer vision is real-time object tracking, which is now widely used in intelligent transportation and smart industry technologies…”
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A benchmark test suite for evolutionary many-objective optimization by Cheng, Ran, Li, Miqing, Tian, Ye, Zhang, Xingyi, Yang, Shengxiang, Jin, Yaochu, Yao, Xin

“…In the real world, it is not uncommon to face an optimization problem with more than three objectives. Such problems, called many-objective optimization…”
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Methods for image denoising using convolutional neural network: a review by Ilesanmi, Ademola E., Ilesanmi, Taiwo O.

“…Image denoising faces significant challenges, arising from the sources of noise. Specifically, Gaussian, impulse, salt, pepper, and speckle noise are…”
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Industry 4.0, a revolution that requires technology and national strategies by Yang, Fengwei, Gu, Sai

“…Since 2011, when the concepts of Industry 4.0 were first announced, this industrial revolution has grown and expanded from some theoretical concepts to…”
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Artificial intelligence in recommender systems by Zhang, Qian, Lu, Jie, Jin, Yaochu

“…Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular…”
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A novel deep learning method for detection and classification of plant diseases by Albattah, Waleed, Nawaz, Marriam, Javed, Ali, Masood, Momina, Albahli, Saleh

“…The agricultural production rate plays a pivotal role in the economic development of a country. However, plant diseases are the most significant impediment to…”
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Smart healthcare IoT applications based on fog computing: architecture, applications and challenges by Quy, Vu Khanh, Hau, Nguyen Van, Anh, Dang Van, Ngoc, Le Anh

“…The history of human development has proven that medical and healthcare applications for humanity always are the main driving force behind the development of…”
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From federated learning to federated neural architecture search: a survey by Zhu, Hangyu, Zhang, Haoyu, Jin, Yaochu

“…Federated learning is a recently proposed distributed machine learning paradigm for privacy preservation, which has found a wide range of applications where…”
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Directional correlation coefficient measures for Pythagorean fuzzy sets: their applications to medical diagnosis and cluster analysis by Lin, Mingwei, Huang, Chao, Chen, Riqing, Fujita, Hamido, Wang, Xing

“…Compared to the intuitionistic fuzzy sets, the Pythagorean fuzzy sets (PFSs) can provide the decision makers with more freedom to express their evaluation…”
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QSPR analysis of some novel neighbourhood degree-based topological descriptors by Mondal, Sourav, Dey, Arindam, De, Nilanjan, Pal, Anita

“…Topological index is a numerical value associated with a chemical constitution for correlation of chemical structure with various physical properties, chemical…”
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Variable surrogate model-based particle swarm optimization for high-dimensional expensive problems by Tian, Jie, Hou, Mingdong, Bian, Hongli, Li, Junqing

“…Many industrial applications require time-consuming and resource-intensive evaluations of suitable solutions within very limited time frames. Therefore, many…”
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Diabetic retinopathy detection and classification using capsule networks by Kalyani, G., Janakiramaiah, B., Karuna, A., Prasad, L. V. Narasimha

“…Nowadays, diabetic retinopathy is a prominent reason for blindness among the people who suffer from diabetes. Early and timely detection of this problem is…”
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