FROST: Fallback Voice Apps Recommendation for Unhandled Voice Commands in Intelligent Personal Assistants by Qian Hu, Thahir Mohamed, Wei Xiao, Xiyao Ma, Xibin Gao, Zheng Gao, Radhika Arava, Mohamed AbdelHady

“…Intelligent personal assistants (IPAs) such as Amazon Alexa, Google Assistant and Apple Siri extend their built-in capabilities by supporting voice apps developed by third-party developers. …”
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Artificial Intelligence and Deep Learning for Decision Makers : A Growth Hacker's Guide to Cutting Edge Technologies / by Kaur, Jagreet, Dr., author 637178, Gill, Navdeep Singh, author 637179

Creating Your Own Conversational Artificial Intelligence Agents Using Convo, a Conversational Programming System by Zhu, Jessica

“…Smart assistants like Amazon’s Alexa, Apple’s Siri, and Google’s Google Home have become commonplace in many people’s lives, appearing in their phones and homes. …”
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Responses to addiction help-seeking from Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants by Alicia L. Nobles, Eric C. Leas, Theodore L. Caputi, Shu-Hong Zhu, Steffanie A. Strathdee, John W. Ayers

“…Abstract We investigated how intelligent virtual assistants (IVA), including Amazon’s Alexa, Apple’s Siri, Google Assistant, Microsoft’s Cortana, and Samsung’s Bixby, responded to addiction help-seeking queries. …”
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Retraction: Chen et al. Image Super-Resolution Algorithm Based on Dual-Channel Convolutional Neural Networks. <i>Appl. Sci.</i> 2019, <i>9</i>, 2316 by Yuantao Chen, Jin Wang, Xi Chen, Arun Kumar Sangaiah, Kai Yang, Zhouhong Cao

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Correction: Akbay et al. Variable Neighborhood Search for the Two-Echelon Electric Vehicle Routing Problem with Time Windows. <i>Appl. Sci.</i> 2022, <i>12</i>, 1014 by Mehmet Anıl Akbay, Can Berk Kalayci, Christian Blum, Olcay Polat

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Deep Learning-Based Segmentation of Intertwined Fruit Trees for Agricultural Tasks by Young-Jae La, Dasom Seo, Junhyeok Kang, Minwoo Kim, Tae-Woong Yoo, Il-Seok Oh

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Artificial Intelligence-Based Robust Hybrid Algorithm Design and Implementation for Real-Time Detection of Plant Diseases in Agricultural Environments by İlayda Yağ, Aytaç Altan

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An Artificial Intelligence-Enabled ECG Algorithm for Predicting the Risk of Recurrence in Patients with Paroxysmal Atrial Fibrillation after Catheter Ablation by Junrong Jiang, Hai Deng, Hongtao Liao, Xianhong Fang, Xianzhang Zhan, Wei Wei, Shulin Wu, Yumei Xue

“…This study aims to predict the risk of recurrence in patients with paroxysmal AF (pAF) after CA by an artificial intelligence (AI)-enabled electrocardiography (ECG) algorithm. …”
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From “Human-to-Human” to “Human-to-Non-human” – Influence Factors of Artificial Intelligence-Enabled Consumer Value Co-creation Behavior by Haitao Wen, Lulu Zhang, Ao Sheng, Mingda Li, Bingfeng Guo

“…The emergence of artificial intelligence (AI) has changed traditional methods of value co-creation. …”
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Sensor Validation and Diagnostic Potential of Smartwatches in Movement Disorders by Julian Varghese, Catharina Marie van Alen, Michael Fujarski, Georg Stefan Schlake, Julitta Sucker, Tobias Warnecke, Christine Thomas

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Stock forecasting using transformers, an emerging machine learning technique by Seoh, Jun Yu

“…Furthermore, Deep Learning models and Artificial intelligence have time and time again prove to have high accuracy in predication of stock prices. …”
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Small-scale model for classification of single acoustic events by Ng, Matthew Tiong Ming

“…AI plays an essential role in enabling the awareness of intelligent machines and has recently attracted considerable attention. …”
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Framework for Predicting and Modeling Stock Market Prices Based on Deep Learning Algorithms by Theyazn H. H. Aldhyani, Ali Alzahrani

“…For this reason, artificial intelligence models have become very important due to the continuous increase in market capitalization. …”
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The Effect of Big Data on the Development of the Insurance Industry by Abdelkader Belhadi, Noureddine Abdellah, Azzeddine Nezai

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AI based stock market trending analysis by Ng, Jun Hao

“…With the advances in Artificial Intelligence (AI) technology, many researches have ventured into the possibilities of using Machine Learning and Deep Learning in stock market prediction. …”
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Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations by Ayesha Siddiqua, Muhammad Ashad Kabir, Tanzina Ferdous, Israt Bintea Ali, Leslie A. Weston

“…In this technologically advanced era, with the proliferation of artificial intelligence, many mobile apps are available for plant disease detection, diagnosis, and treatment, each with a variety of features. …”
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Technologies and Equipment of Mechanized Blossom Thinning in Orchards: A Review by Xiaohui Lei, Quanchun Yuan, Tao Xyu, Yannan Qi, Jin Zeng, Kai Huang, Yuanhao Sun, Andreas Herbst, Xiaolan Lyu

“…Thirdly, for equipment intelligent upgrading, the research of the intelligent detection algorithm for inflorescence on the fruit tree was investigated, for species including the apple, pear, citrus, grape, litchi, mango, and apricot. …”
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Generative Adversarial Networks Based Scene Generation on Indian Driving Dataset by K. Aditya Shastry, B.A. Manjunatha, T.G. Mohan Kumar, D.U. Karthik

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Deep Learning-Based System for Preoperative Safety Management in Cataract Surgery by Gaku Kiuchi, Mao Tanabe, Katsunori Nagata, Naofumi Ishitobi, Hitoshi Tabuchi, Tetsuro Oshika

“…An artificial intelligence-based system was implemented for preoperative safety management in cataract surgery, including facial recognition, laterality (right and left eye) confirmation, and intraocular lens (IOL) parameter verification. …”
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