184 results on '"Arora, Alka"'
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2. Questioning God: A Spiritual Feminist Dialogue
3. Plant biomass estimation using image analysis and machine learning technique
4. Justice for Just Us?: Spiritual Progressives and Carnism
5. Prediction of matrilineal specific patatin-like protein governing in-vivo maternal haploid induction in maize using support vector machine and di-peptide composition
6. Letters: Readers Respond
7. A MOBILE BASED DECISION SUPPORT SYSTEM FOR POSTURAL EVALUATION OF AGRICULTURAL ACTIVITIES WITH RAPID ENTIRE BODY ASSESSMENT (REBA)
8. A Novel Adoption Index of Selected Agricultural Technologies: Linkages with Infrastructure and Productivity
9. Computer-Vision-Ansätze zur Bestimmung phänotypischer Parameter von Pflanzen
10. Student Misconceptions and Errors in Physics and Mathematics
11. Student Misconceptions and Errors in Physics and Mathematics: Exploring Data from TIMSS and TIMSS Advanced. IEA Research for Education. Volume 9
12. U.S. Performance on the 2015 TIMSS Advanced Mathematics and Physics Assessments: A Closer Look. NCES 2020-051
13. Computer Vision Approaches for Plant Phenotypic Parameter Determination
14. EfficientNet architecture and attention mechanism-based wheat disease identification model
15. Recognition of diseases of maize crop using deep learning models
16. Deep transfer learning model for disease identification in wheat crop
17. Wheat Disease Severity Estimation: A Deep Learning Approach
18. Identification of Paddy Stages from Images using Deep Learning
19. Methodology Used to Analyze Student Misconceptions, Errors, and Misunderstandings in TIMSS
20. Conclusions About Using TIMSS and TIMSS Advanced Data to Explore Student Misconceptions, Errors, and Misunderstandings in Physics and Mathematics
21. Results for Student Misconceptions, Errors, and Misunderstandings in Physics and Mathematics
22. Review of Research into Misconceptions and Misunderstandings in Physics and Mathematics
23. An Introduction to Student Misconceptions and Errors in Physics and Mathematics
24. Deep learning-based approach for identification of diseases of maize crop
25. Pandemic Pedagogy: Narratives of Vulnerability, Grace, and Rebellion
26. Wheat Disease Severity Estimation: A Deep Learning Approach
27. Monitoring of Carbendazim residues in post-harvest treated Red Delicious apples
28. TIMSS 2011 User Guide for the International Database. Supplement 3: Variables Derived from the Student, Home, Teacher, and School Questionnaire Data
29. TIMSS 2011 User Guide for the International Database. Supplement 1: International Version of the TIMSS 2011 Background and Curriculum Questionnaires
30. TIMSS 2011 User Guide for the International Database
31. TIMSS 2011 User Guide for the International Database. Supplement 4: TIMSS 2011 Sampling Stratification Information
32. TIMSS 2011 User Guide for the International Database. Supplement 2: National Adaptations of International Background Questionnaires
33. Training Requirements of Entry Level Accountants: CA (India) vs. CPA (US)
34. TIMSS 2011 International Results in Mathematics
35. 12 Wheat rust disease identification using deep learning
36. A Framework for Ontology Learning from Taxonomic Data
37. TIMSS Advanced 2008 Assessment Frameworks
38. TIMSS 2007 Assessment Frameworks
39. School Safety Study: Phase II (ARS 15-231.03).
40. Enhancing the Classification of Biosynthetic Gene Clusters through Comprehensive NLP-Based Approach
41. School Safety Study: Phase I.
42. Student Misconceptions and Errors in Physics and Mathematics
43. An Algorithm for Automatic Text Annotation for Named Entity Recognition using spaCy Framework
44. SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging
45. Review of Research into Misconceptions and Misunderstandings in Physics and Mathematics
46. An Introduction to Student Misconceptions and Errors in Physics and Mathematics
47. Methodology Used to Analyze Student Misconceptions, Errors, and Misunderstandings in TIMSS
48. Results for Student Misconceptions, Errors, and Misunderstandings in Physics and Mathematics
49. Conclusions About Using TIMSS and TIMSS Advanced Data to Explore Student Misconceptions, Errors, and Misunderstandings in Physics and Mathematics
50. Multi-objective particle swarm optimization for regional crop planning
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