Search Results - "Journal of King Saud University. Computer and information sciences"

Stability of feature selection algorithm: A review by Khaire, Utkarsh Mahadeo, Dhanalakshmi, R.

“…Feature selection technique is a knowledge discovery tool which provides an understanding of the problem through the analysis of the most relevant features…”
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An optimized XGBoost based diagnostic system for effective prediction of heart disease by Budholiya, Kartik, Shrivastava, Shailendra Kumar, Sharma, Vivek

“…Researchers have created several expert systems over the years to predict heart disease early and assist cardiologists to enhance the diagnosis process. We…”
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A Survey on Human Face Expression Recognition Techniques by Revina, I.Michael, Emmanuel, W.R. Sam

“…Human Face expression Recognition is one of the most powerful and challenging tasks in social communication. Generally, face expressions are natural and direct…”
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Feature selection using an improved Chi-square for Arabic text classification by Bahassine, Said, Madani, Abdellah, Al-Sarem, Mohammed, Kissi, Mohamed

“…In text mining, feature selection (FS) is a common method for reducing the huge number of the space features and improving the accuracy of classification. In…”
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Anomaly network-based intrusion detection system using a reliable hybrid artificial bee colony and AdaBoost algorithms by Mazini, Mehrnaz, Shirazi, Babak, Mahdavi, Iraj

“…Intrusion detection systems (IDSs) has been considered as the main component of a safe network. One of the problems of these security systems is false alarm…”
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A Survey On Internet Of Things Architectures by Ray, P.P

“…Internet of Things is a platform where every day devices become smarter, every day processing becomes intelligent, and every day communication becomes…”
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Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification by Onan, Aytuğ

“…Sentiment analysis has been a well-studied research direction in computational linguistics. Deep neural network models, including convolutional neural networks…”
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Capsule Networks – A survey by Kwabena Patrick, Mensah, Felix Adekoya, Adebayo, Abra Mighty, Ayidzoe, Edward, Baagyire Y.

“…Modern day computer vision tasks requires efficient solution to problems such as image recognition, natural language processing, object detection, object…”
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Smart home health monitoring system for predicting type 2 diabetes and hypertension by Chatrati, Saiteja Prasad, Hossain, Gahangir, Goyal, Ayush, Bhan, Anupama, Bhattacharya, Sayantan, Gaurav, Devottam, Tiwari, Sanju Mishra

“…Home health monitoring can facilitate patient monitoring remotely for diabetes and blood pressure patients. Early detection of hypertension and diabetes is…”
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A review on TinyML: State-of-the-art and prospects by Ray, Partha Pratim

“…Machine learning has become an indispensable part of the existing technological domain. Edge computing and Internet of Things (IoT) together presents a new…”
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Fruits and vegetables quality evaluation using computer vision: A review by Bhargava, Anuja, Bansal, Atul

“…In agriculture science, automation increases the quality, economic growth and productivity of the country. The export market and quality evaluation are…”
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An effective multiple-image encryption algorithm based on 3D cube and hyperchaotic map by Gao, Xinyu, Mou, Jun, Banerjee, Santo, Cao, Yinghong, Xiong, Li, Chen, Xiaoyang

“…In accordance with the principle that the cube graph can be obtained by superimposing planes, a multiple-image encryption scheme based on hyperchaotic map and…”
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Load balancing in cloud computing: A big picture by Mishra, Sambit Kumar, Sahoo, Bibhudatta, Parida, Priti Paramita

“…Scheduling or the allocation of user requests (tasks) in the cloud environment is an NP-hard optimization problem. According to the cloud infrastructure and…”
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An Enhancement Approach For Reducing The Energy Consumption In Wireless Sensor Networks by Elshrkawey, Mohamed, Elsherif, Samiha M, Wahed, M. Elsayed

“…Wireless Sensor Networks (WSN) consist of low power devices that are distributed in geographically isolated areas. Sensors are arranged in clusters. Each…”
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Subject independent emotion recognition from EEG using VMD and deep learning by Pandey, Pallavi, Seeja, K.R.

“…Emotion recognition from Electroencephalography (EEG) is proved to be a good choice as it cannot be mimicked like speech signals or facial expressions. EEG…”
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Precision agriculture using IoT data analytics and machine learning by Akhter, Ravesa, Sofi, Shabir Ahmad

“…In spite of the insight commonality may have concerning agrarian practice, fact is that nowadays agricultural science diligence is accurate, precise,…”
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Intrusion Detection Model Using Fusion Of Chi-Square Feature Selection And Multi Class SVM by Ikram, Sumaiya Thaseen, Cherukuri, Aswani Kumar

“…Intrusion detection is a promising area of research in the domain of security with the rapid development of internet in everyday life. Many intrusion detection…”
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Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions by Sohail, Shahab Saquib, Farhat, Faiza, Himeur, Yassine, Nadeem, Mohammad, Madsen, Dag Øivind, Singh, Yashbir, Atalla, Shadi, Mansoor, Wathiq

“…Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It has shown impressive…”
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Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review by Chaki, Jyotismita, Thillai Ganesh, S., Cidham, S.K, Ananda Theertan, S.

“…Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-organ failure in patients. Thanks to advances in machine learning…”
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IoT and artificial intelligence implementations for remote healthcare monitoring systems: A survey by Alshamrani, Mazin

“…The Internet of Things (IoT) and artificial intelligence (AI) are two of the fastest-growing technologies in the world. With more people moving to cities, the…”
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