Results 61 to 70 of about 219,471 (286)

Musical Genre Classification Using Advanced Audio Analysis and Deep Learning Techniques

IEEE Open Journal of the Computer Society
Classifying music genres has been a significant problem in the decade of seamless music streaming platforms and countless content creations. An accurate music genre classification is a fundamental task with applications in music recommendation, content ...
Mumtahina Ahmed, Uland Rozario, Md Mohshin Kabir, Zeyar Aung, Junpil Shin, M. F. Mridha   +5 more
doaj   +1 more source

Problems of definition and classification of fantasy: Western European and Slavonic perspectives

SHS Web of Conferences, 2018
The article deals with the problem of definition and classification of literary works marked as fantasy. Being quite a modern genre, fantasy, on the one hand, has become quite a popular literature among groups of people of different ages and occupations ...
Ryzhchenko Olga
doaj   +1 more source

Feature Type Analysis in Automated Genre Classification [PDF]

, 2007
In this paper, we compare classifiers based on language model, image, and stylistic features for automated genre classification. The majority of previous studies in genre classification have created models based on an amalgamated representation of a ...
Kim, Dr Yunhyong, Ross, Seamus
core  

The Impact of Dance Interventions on Adolescents’ Prosocial Behavior: A Scoping Review

Journal of Adolescence, EarlyView.
ABSTRACT Introduction Adolescents are increasingly affected by complex societal challenges that impact their psychosocial development. Prosocial behaviors such as empathy, cooperation, and peer support are critical during this stage and contribute to positive academic, emotional, and social outcomes.
Chloe L. Brown, Carolynne L. J. Mason, Jennie E. Hancox, Colin J. Deal, Min Du   +4 more
wiley   +1 more source

Neural Network Music Genre Classification [PDF]

Canadian Journal of Electrical and Computer Engineering, 2019
Music genre classification utilizing neural networks has achieved some limited success in recent years. Differences in song libraries, machine learning techniques, input formats, and types of neural networks implemented have all had varying levels of success. This paper reviews some of the machine learning techniques utilized in this area.
Nikki Pelchat, Craig M. Gelowitz
openaire   +1 more source

Patterns of wild meat and other protein consumption in the periphery of Salonga National Park, Democratic Republic of the Congo

People and Nature, EarlyView.
Abstract In Central Africa, human activities are severely impacting terrestrial and aquatic wildlife, threatening the food security of millions of people. Accordingly, sustainable use of wildlife is crucial for the nutrition and livelihoods of many rural communities in the region.
Zolo Admettons, Mattia Bessone, Josué Ausse Baraka, Josué Engombe Botomia, Espérance Miezi, Bénédicte Nsilu, Jonathan Nkamisha Mukole, Michel Opelele Omeno, Jean Semeki Ngabinzeke, Barbara Fruth   +9 more
wiley   +1 more source

Using Generic Summarization to Improve Music Information Retrieval Tasks [PDF]

, 2016
In order to satisfy processing time constraints, many MIR tasks process only a segment of the whole music signal. This practice may lead to decreasing performance, since the most important information for the tasks may not be in those processed segments.
de Matos, David Martins, Raposo, Francisco, Ribeiro, Ricardo   +2 more
core   +2 more sources

Expanding Possibilities for the Use of Writing Genres in Early Elementary Science: Investigating First‐Graders’ Multimodal Sequential Explanations

Science Education, EarlyView.
ABSTRACT This study investigates the outcomes of the implementation of a first grade unit incorporating multiple modes of representation and genre‐based pedagogy to support writing instruction in the genre of sequential explanations. At the end of a 6‐day unit investigating the structure and functions of carnivorous plants, 47 first graders completed a
Rachel E. Wilson, Leslie U. Bradbury
wiley   +1 more source

Automatic Genre Classification of Latin Music Using Ensemble of Classifiers [PDF]

, 2006
This paper presents a novel approach to the task of automatic music genre classification which is based on ensemble learning. Feature vectors are extracted from three 30-second music segments from the beginning, middle and end of each music piece ...
Kaestner, Celso A.A., Koerich, Alessandro L., Silla Jr, Carlos N.   +2 more
core  

Sliding Doors: Frame Uptake and Rejection by Learners in a Museum‐Based Climate Learning Experience

Science Education, EarlyView.
ABSTRACT Science education efforts that support public understanding of modern climate change are critically needed. However, implementing climate‐related learning experiences can be challenging, as public audiences tend to experience a wide range of understandings of and emotions around the issue. In light of these challenges, many scholars have posed
Lynne Zummo, Benjamin Janney, Kaitlyn Kinshella, Jordan Giron, Marc Whiting, Ajla Auker, Hailey Sherman, Monika Lohani   +7 more
wiley   +1 more source