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Learning and memory
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The study revealed that through commemorative reference to local inhabitants, culture, and history and the promotion of awareness of the art and identification with it, the most critical mission is to promote man’s quality of life and implications for online learning and teaching are provided.
15p
vialicene
02-07-2024
0
0
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In this study, four machine learning models have been studied which are Artificial Neural Networks, Convolutional Neural Networks, Long Short-Term Memory (LSTM) and Extreme Learning Machine (ELM). They have been used to forecast the solar power of Nhi Ha solar farm in short-term. First, data from Nhi Ha solar farm were collected and underwent preprocessing before being utilized by aforementioned distinct machine learning models.
8p
vialicene
02-07-2024
0
0
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Text categorization aims to automatically assign given text passages or documents to predetermined categories or subjects. Despite the wide array of techniques employed in classifying English text, there remains a dearth of research on Vietnamese text classification. This paper introduces a novel approach utilizing a Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) with a deep network structure for Vietnamese text classification.
10p
viambani
18-06-2024
3
1
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Ebook Designing with the mind in mind - Simple guide to understanding user interface design rules presents the following content: We perceive what we expect; our vision is optimized to see structure; we seek and use visual structure; reading is unnatural; our color vision is limited; our peripheral vision is poor; our attention is limited; our memory is imperfect; limits on attention, shape, thought and action; recognition is easy; recall is hard; learning from experience and performing learned actions are easy; problem solving and calculation are hard; many factors affect learning; we have...
188p
zizaybay1103
29-05-2024
2
1
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This study compares the accuracy of two popular time series forecasting models, namely the autoregressive integrated moving average (ARIMA) model and the long short-term memory (LSTM) model, in predicting daily gold prices from 2000 to 2023. The ARIMA model is a traditional approach that relies on past values to forecast future values, while the LSTM model is a deep learning technique that captures long-term dependencies in time series data.
16p
dathienlang1012
03-05-2024
0
0
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This study extracts images from Taekwondo videos and generates skeleton data from frames using the Fast Forward Moving Picture Experts Group (FFMPEG) technique using MoveNet. After that, we use deep learning architectures such as Long Short-Term Memory Networks, Convolutional Long Short-Term Memory, and Longterm Recurrent Convolutional Networks to perform the poses classification tasks in Taegeuk in Jang lessons. This work presents two approaches. The first approach uses a sequence skeleton extracted from the image by Movenet.
26p
dianmotminh02
03-05-2024
3
1
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Salinity intrusion forecasting is essential and challenging for hydrometeorology, especially in climate change. Employing machine learning (ML) algorithms and conventional forecasting techniques are gaining popularity and providing high performance. This study presents a method to optimize a machine learning model based on the Long Short-Term Memory (LSTM) algorithm for multistep-ahead salinity forecasting (up to 7 days) at Dai Ngai station, Soc Trang province.
11p
dianmotminh02
03-05-2024
2
1
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This study aims to analyze the effects of working memory capacity and learning styles of prospective mathematics teachers on their ability to solve higher-order thinking problems. In the present study, learning style was considered students' tendency to learn visually or verbally. In addition, the types of higher-order thinking skills (HOTS) problems are complex and noncomplex.
14p
viarnault
25-04-2024
4
2
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Part 2 book "Neuroanatomy - Text and atlas" includes content: Cranial nerve motor nuclei and brain stem motor functions, the vestibular and oculomotor systems; the cerebellum; the basal ganglia, the hypothalamus and regulation of endocrine and visceral functions; the limbic system and cerebral circuits for emotions, learning, and memory.
413p
muasambanhan10
11-04-2024
4
1
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This study applies an effective deep learning framework for the classification of microbial sequences. The proposed architecture combines a sequence embedding layer with other layers of a bidirectional Long Short-Term Memory, Seft-attention, and Dropout mechanisms for feature learning. Experimental results demonstrate the strength of the proposed method on datasets of real metagenomes.
7p
vilarry
01-04-2024
7
1
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Emerging RNA viruses that target the central nervous system (CNS) lead to cognitive sequelae in survivors. Studies in humans and mice infected with West Nile virus (WNV), a re-emerging RNA virus associated with learning and memory deficits, revealed microglial-mediated synapse elimination within the hippocampus.
20p
viellison
28-03-2024
2
1
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Part 2 book "Handbook of psychology - Vol 4: Experimental psychology" includes content: Motor control, conditioning and learning, animal memory and cognition, sensory and working memory, semantic memory and priming, episodic and autobiographical memory, procedural memory and skill acquisition, language comprehension and production, reading, text comprehension and discourse processing, concepts and categorization, reasoning and problem solving, psychological experimentation addressing practical concerns.
396p
muasambanhan08
23-02-2024
1
1
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Ebook Brain & behavior: An introduction to biological psychology (fourth edition) - Part 2 includes content: Learning and memory, intelligence and cognitive functioning, psychological disorders, sleep and consciousness. Invite you to consult the details.
661p
longtimenosee03
01-02-2024
0
0
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Ebook Brain & behavior: An introduction to behavioral neuroscience (Fifth Edition) - Part 2 includes content: Learning and memory, intelligence and cognitive functioning, psychological disorders, sleep and consciousness. Invite you to consult the details.
857p
longtimenosee03
01-02-2024
2
0
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Ebook Learning C++ by Creating Games with UE4: Part 1 includes contents: Chapter 1: coding with C++; chapter 2: variables and memory; chapter 3: if, else, and switch; chapter 4: looping; chapter 5: functions and macros; chapter 6: objects, classes, and inheritance.
149p
haojiubujain010
14-12-2023
4
3
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Ebook Learning C++ by Creating Games with UE4: Part 2 includes contents: Chapter 7: dynamic memory allocation; chapter 8: actors and pawns; chapter 9: templates and commonly used containers; chapter 10: inventory system and pickup items; chapter 11: monsters; chapter 12: spell book.
193p
haojiubujain010
14-12-2023
3
2
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Ebook "Better exam results: A guide for accountancy and business students" will help you develop proven study and exam techniques. Step-by-step it guides you through the various stages of learning from planning your study time, to reading, making notes, revising and preparing for exams. Malone is an established best selling author who shows you how to: study effectively and save time, build confidence and realize your potential, focus your attention,...
139p
tuongnhuoclan
28-11-2023
5
3
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Ebook "CIMA’s official revision cards: Fundamentals of financial accounting (CIMA certificate in business accounting C02)" have been designed to: save you time by summarising the syllabus in a concise form; jog your memory through the use of diagrams and bullet points; follow the structure of the CIMA Official Learning Systems; refer to relevant questions found within the Preparing for the Examination section of the Learning System; provide you with plenty of exam tips and hints;...
115p
tuongnhuoclan
27-11-2023
7
5
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Part 1 book "Horse behavior" includes content: Ancestry of the horse, perception and orientation, motor patterns, ontogeny of behavior patterns, play, investigative behavior, learning and memory, resting and sleep, ingestive behavior, eliminative behavior, comfort behavior.
197p
oursky09
12-11-2023
11
3
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This course is an introduction to the subject of Artificial Neural Networks and Genetic Algorithms, two very new subjects forming part of Distributed Artificial Intelligence. As you leaf through these notes you will notice that they are full of mathematical equations. The reason is simple: these subjects are inherently mathematical. However the course and assessments are such that it will be possible for you to pass if you do not touch the equations. However if you wish to gain a good pass you must attempt to master the equations.
136p
haojiubujain08
01-11-2023
5
2
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