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Nature of language
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This paper focuses on utilizing a dataset obtained from Amazon, comprising reviews spanning various product categories such as laptops, cameras and mobile phones. Following data preprocessing, we employ machine learning algorithms to classify the reviews as either positive or negative sentiment.
6p
vithomson
02-07-2024
0
0
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Part 2 of ebook "50 years of artificial intelligence: Essays dedicated to the 50th anniversary of artificial intelligence" provides readers with contents including: neurorobotics; machine intelligence, cognition, and natural language processing; human-like intelligence - motivation, emotions, and consciousness; robot platforms; art and AI...
226p
daonhiennhien
03-07-2024
1
1
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Part 1 of ebook "Artificial intelligence for fashion: How AI is revolutionizing the fashion industry" provides readers with contents including: Chapter 1 - Basics of artificial intelligence; Chapter 2 - Natural language processing and conversational shopping; Chapter 3 - Computer vision and smart mirrors; Chapter 4 - Neural networks and image search; Chapter 5 - Virtual style assistants;...
104p
daonhiennhien
03-07-2024
2
1
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Vietnamese text-based person search is still a challenging problem with the limited dataset of Vietnamese descriptions. The current popular approach to this problem is Deep Neural Networks (DNNs), and recently, transformer networks have been more favored because of their outperformance over CNN and RNN networks for both vision and natural language processing tasks.
9p
viambani
18-06-2024
5
1
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Lecture Artificial intelligence: Artificial neural network. This lecture provides students with content including: computing systems inspired by biological neural networks; consists of several processing elements that receive inputs and deliver outputs; "learn" to perform tasks by considering examples; be able to model nonlinear processes;... Please refer to the detailed content of the lecture!
47p
codabach1016
03-05-2024
2
0
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In this paper, we propose applying a jointly developed model to the task of multilingual visual question answering. Specifically, we conduct experiments on a multimodal sequence-to-sequence transformer model derived from the T5 encoder-decoder architecture. Text tokens and Vision Transformer (ViT) dense image embeddings are inputs to an encoder then we used a decoder to automatically anticipate discrete text tokens.
11p
dianmotminh02
03-05-2024
6
1
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This study focuses on the evaluation of academic conferences and ways of improving them. The study includes a case study of one university in Israel. Sixty two academic faculty members from varied departments completed a questionnaire, including 61.7% women and 38.3% men.
6p
viarnault
25-04-2024
2
1
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The study presents a semantic correlation model (SCM) of socioformative data, which is designed to support the evaluation of curriculum planning (CPE) that is developed from indicators derived from curriculum components such as graduate profile, study plan, area plan and subject plan.
19p
viarnault
25-04-2024
3
1
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Nowadays, many applications uses speech recognition especially the field of computer science and electronics, Speech Recognition (SR) is the interpretation of words spoken into a text. It is also known as Speech-To-Text (STT) or Automatic-Speech-Recognition(ASR), or just Word-Recognition(WR). The HiddenMarkov-Model (HMM) is a type of Markov model, which means that the future state of the model depends on the current state, not on the entire history of the system and the goal of HMM is to learn a sequence of hidden states from a set of known states.
5p
viritesh
02-04-2024
4
1
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This paper provides a full disclosure of a pending patent that was filed with the United States Patent and Trademark Office (USPTO) in March 2020. The proposed patent provides an autonomous solution conducting a procurement process for services and materials. However, the authors believe that there could be some challenges in building APS where AI is possibly immature in certain areas. However, building a prototype could be the first and correct step to have a fully reliable autonomous solution in procurement.
13p
longtimenosee07
29-03-2024
3
2
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Clinical interpretation of genetic variants in the context of the patient’s phenotype is becoming the largest component of cost and time expenditure for genome-based diagnosis of rare genetic diseases. Artificial intelligence (AI) holds promise to greatly simplify and speed genome interpretation by integrating predictive methods with the growing knowledge of genetic disease.
19p
vibransone
28-03-2024
3
2
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Ebook "Stem cells: From Hydra to man" illustrates that there is more than human and mouse stem cells to learn from. Reflecting an enormous growth in the knowledge of stem cells in various organisms, the book presents the conceptual language and the nature of questions, as well as a summary of the advances in our understanding of stem cells from a comparative point of view that has resulted from the development of new technology and the development of novel model organisms over the past few decades.
198p
cotieubac1004
15-03-2024
4
0
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Rapidly and efficiently identifying critically ill infants for whole genome sequencing (WGS) is a costly and challenging task currently performed by scarce, highly trained experts and is a major bottleneck for application of WGS in the NICU. There is a dire need for automated means to prioritize patients for WGS.
9p
vicwell
29-02-2024
6
1
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This paper is structured as follows: literature reviews part, which discusses different methods and frameworks in recent research related to Khmer word segmentation and POS tagging, Bidirectional long short-term memory section, which describes the experiment of this study and result, and finally is future work section.
12p
vibego
02-02-2024
4
0
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The article studies the problem of forecasting the closing price of a stock based on historical data of a previous day. The paper uses and compares algorithms based on deep learning such as LSTM, BiLSTM, and CNN. The dataset includes data on price, trading volume and some technical indicators related to VCB, MSN, and HPG shares. The results show that CNN performs better for predicting the next day’s closing price than the other architectures.
11p
visystrom
22-11-2023
8
4
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Can computers meaningfully process human language? If this is difficult, why? If this is possible, how? This book introduces the reader to the fascinating science of computational linguistics and automatic natural language processing, which combines linguistics and artificial intelligence.
198p
haojiubujain08
01-11-2023
6
2
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Part 1 book "Horse genetics" includes content: Nature of horse breeds, evolution and domestication of horses, equus, the fundamentals of genetics, the language and patterns of genetics, horse genomics, black, bay, and chestnut (extension and agouti), color diluting genes, tobiano, white, sabino, and roan (kit).
224p
oursky07
23-10-2023
5
2
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Ebook "Natural language processing with PyTorch: Build intelligent language applications using deep learning" aims to bring newcomers to natural language processing (NLP) and deep learning to a tasting table covering important topics in both areas. Both of these subject areas are growing exponentially. As it introduces both deep learning and NLP with an emphasis on implementation, this book occupies an important middle ground.
210p
dangsovu
20-10-2023
8
4
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Ebook "Foundations of statistical natural language processing" includes content: Lexical acquisition, introduction, mathematical foundations, linguistic essentials, corpus based work, collocations, statistical inference - n gram models over sparse data, word sense disambiguation,.... and other contents.
704p
haojiubujain07
20-09-2023
6
2
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Ebook "Methods and applications of artificial intelligence" includes content: Invited talks, information management, machine learning, data mining and diagnosis, knowledge representation and search, natural language processing, ai in power system operation and fault diagnosis, intelligent techniques in image processing, intelligent virtual environments.
563p
haojiubujain07
20-09-2023
3
3
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