Institution
Mississippi State University
Education•Starkville, Mississippi, United States•
About: Mississippi State University is a education organization based out in Starkville, Mississippi, United States. It is known for research contribution in the topics: Population & Catfish. The organization has 14115 authors who have published 28594 publications receiving 700030 citations. The organization is also known as: The Mississippi State University of Agriculture and Applied Science & Mississippi State University of Agriculture and Applied Science.
Topics: Population, Catfish, Hyperspectral imaging, Ictalurus, Poison control
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this paper, the authors examined the relationship between fear of crime and victimization, gender, age, and selected social factors, and found that victimization was the most powerful predictor of fear.
Abstract: This study examines the relationship between fear of crime and victimization, gender, age, and selected social factors. Data for the study were obtained from a random sample (n = 1,835) of respondents 15 years of age and over. Separate multiple regression techniques were utilized to assess the effects of predictor variables on fear of crime. The findings revealed that victimization was the most powerful predictor of fear of crime for the total sample and for each subsample. Other significant predictor variables include gender, age and race.
130 citations
••
TL;DR: The proposed framework outperforms the existing CNN and other traditional classification algorithms by including deconvolution layers and an optimized ELM and demonstrates that it can achieve outstanding hyperspectral classification performance.
Abstract: With success of convolutional neural networks (CNNs) in computer vision, the CNN has attracted great attention in hyperspectral classification. Many deep learning-based algorithms have been focused on deep feature extraction for classification improvement. In this letter, a novel deep learning framework for hyperspectral classification based on a fully CNN is proposed. Through convolution, deconvolution, and pooling layers, the deep features of hyperspectral data are enhanced. After feature enhancement, the optimized extreme learning machine (ELM) is utilized for classification. The proposed framework outperforms the existing CNN and other traditional classification algorithms by including deconvolution layers and an optimized ELM. Experimental results demonstrate that it can achieve outstanding hyperspectral classification performance.
129 citations
••
TL;DR: Data indicates that 0.33% apparent available dietary phosphorus is adequate for maximum growth and bone mineralization in fingerling channel catfish, and it is suggested that a value of 0.4% apparent Available phosphorus be used in formulating catfish feeds.
Abstract: Two experiments were conducted to reevaluate the dietary phosphorus requirement of fingerling channel catfish. Basal diets containing either casein with supplemental inorganic phosphorus and 0.5% total calcium or egg albumin with supplemental inorganic phosphorus and 0.75% total calcium yielded similar requirement data. Eleven-week growth, feed efficiency, serum phosphorus, bone ash, bone calcium and bon phosphorus data indicate that 0.33% apparent available dietary phosphorus is adequate for maximum growth and bone mineralization. Based on these data and previous findings, we would suggest a value of 0.4% apparent available phosphorus be used in formulating catfish feeds. The apparent availability of phosphorus from soybean meal, as determined by the chromic oxide indicator method, was 29% for channel catfish.
129 citations
••
22 Oct 2015TL;DR: This article investigated teacher and peer support for young adolescents' academic motivation, classroom engagement, and school belonging with a sequential explanatory mixed methods (SEMMLM) study, and found that teachers and peers were supportive of adolescents in academic motivation and classroom engagement.
Abstract: The purpose of this sequential explanatory mixed methods study was to investigate teacher and peer support for young adolescents’ academic motivation, classroom engagement, and school belonging wit...
129 citations
••
TL;DR: The information from this study is useful for understanding the cotton K requirement in the present as well as in the future higher [CO 2 ] environment and for recommendations of K application.
129 citations
Authors
Showing all 14277 results
Name | H-index | Papers | Citations |
---|---|---|---|
Naomi J. Halas | 140 | 435 | 82040 |
Bin Liu | 138 | 2181 | 87085 |
Shuai Liu | 129 | 1095 | 80823 |
Vijay P. Singh | 106 | 1699 | 55831 |
Liangpei Zhang | 97 | 839 | 35163 |
K. L. Dooley | 95 | 320 | 63579 |
Feng Chen | 95 | 2138 | 53881 |
Marco Cavaglia | 93 | 372 | 60157 |
Tuan Vo-Dinh | 86 | 698 | 24690 |
Nicholas H. Barton | 84 | 267 | 32707 |
S. Kandhasamy | 81 | 235 | 50363 |
Michael S. Sacks | 80 | 386 | 20510 |
Dinesh Mohan | 79 | 283 | 35775 |
James Mallet | 78 | 209 | 21349 |
George D. Kuh | 77 | 248 | 30346 |