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Displaying results 61 - 72 of 72 in total
Collection
2025 Northeast Section Conference
Authors
Rudra Mitra; Intiser Islam; Shariar Islam Saimon; Xingguo Xiong
model, the impact of the expert's decisions on it has to be made. The company refinements required to increase Fig. 8. X-ray of a pneumonia-affected lung and a healthy lung (Sample robustness in diverse clinical environments are promising. images) for model 2. Model 2 exhibits Greater accuracy, manages incomplete data,resilient. In model 2 ResNet18's advanced feature extraction on complete patient data and thus provides a more robust andsurpasses that of a basic CNN. Moreover, Bayesian reasoning interpretable AI-based healthcare solution. Real-case scenariosprovides clinically interpretable predictions
Collection
2025 Northeast Section Conference
Authors
Lakshmi Aishwarya Malladi; Navarun Gupta; Ahmed El-Sayed; Xingguo Xiong
. [8] He, K., et al. "Deep Residual Learning for Image Recognition." CVPR, V. CONCLUSIONS AND FUTURE RESEARCH 2016. [9] Simonyan, K., et al. "Very Deep Convolutional Networks for Large-Scale Image Recognition (VGG16)." ICLR, 2015.The study proved the efficacy of a VGG16-based deep learning [10] Redmon, J., et al. "YOLO: Real-Time Object Detection." CVPR, 2016.model for wildfire identification, attaining 97.5% accuracy on [11] Ren, S., et al. "Faster R-CNN: Towards Real-Time Object Detection withthe D-FIRE dataset. Through the use of data augmentation and Region
Collection
2025 Northeast Section Conference
Authors
Shinae Jang P.E.
/2024/resources/nace-career-readiness-competencies-revised-apr- 2024.pdf [7] Jang, S. (2021), “Redesign of a Large Statics Course for Neurodiverse Students in the Distance Learning Environment.” 2021 ASEE Virtual Annual Conference, https://peer.asee.org/37644Fig. 3. Reflection of result Q3. [8] Passow, H. J. (2012). "Which ABET Competencies Do Engineering Graduates Find
Collection
2025 Northeast Section Conference
Authors
Mohammad Rafiq Muqri; Simon Obeid; Gusteau Duclos, DeVry University
, “Design meetings and designneural network architectures, including transformers and notebooks as tools for reflection in the engineering design course”, IEEEgenerative models like GANs and VAEs, will further advance 36th Annual Conference, Frontiers in Education, pp. 165-184, Santhe capabilities of AI in education. As reported by HolonIQ, Diego, CA, USA, 27-31 October 2006.the global ed-tech market is projected to reach $404 billion by [3] Robin S. Adams, Jennifer Turns, and Cynthia J. Atman, “Educating effective engineering designers: the role of reflective practice,” Design2025, highlighting the growing impact of AI in this
Collection
2025 Northeast Section Conference
Authors
Bushra Rayyan Qadri; Arthur McAdams; Peter Cavanaugh; Dan Tenney; Ali Baker
fundamental outcomes through different methods, including written reports,principles: multiple means of engagement (the ‘why’ of oral presentations, and visual storytelling. Some students arelearning), multiple means of representation (the ‘what’ of better at analytical writing, while others communicate theirlearning), and multiple means of action & expression (the learning more effectively through oral discussion and exchange‘how’ of learning). UDL, which began in the 1980’s continues of ideas, and some do better at date-driven visualizations andto evolve, integrating AI, adaptive learning, and digital graphs. This range of methods gives all students theaccessibility to
Collection
2025 Northeast Section Conference
Authors
Lorenzo Govoni; Coleman Hayes; Colin Jennings; Mia Lattin; Saara Sheth; Meghna Sridhar; Bala Maheswaran
Optimization Conference Melaka,[2] Musée Louis Braille, “Braille Today,” Accessed: Malaysia, 2012, pp. 361–366.December, 2024 [Online]. Available:https://museelouisbraille.com/en/le-braille-aujourd-hui[3] A. Ghosh, T. Hossain, M. J. UI Islam, M. Kundu, N. B. Appendix 1: Simplified G-code dictionaryNizam, and S. A. Fattah, ‘Brindle: A Low-Cost RefreshableBraille Display with Slider Mechanism’, in 2023 IEEE 9th 0 Placeholder for a blank space, if 0 is input railInternational Women in Engineering (WIE) Conference on motor moves one “Full_Step”Electrical and Computer Engineering (WIECON-ECE), 2023,pp. 201–205
Collection
2025 Northeast Section Conference
Authors
Bala Maheswaran; Meghna Sridhar; Yiannis Levendis; Hameed Metghalchi
; Murrah, K., & Perry, S., & Tomas, K. A., & Kumarakuru, H., Smart Spirometer: A Project-Based Learning Experience Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2—47974, 2024.[9]. Maheswaran, B., & Criollo, A., & Reghupathi, A., & Shah, A., & Lee, R., Project–Based Learning: Piezoelectric Energy Wheel Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2—40452, 2202.[10]. The Inclusive Engineering Mindset: A Vision for Change in Undergraduate Engineering and Engineering Technology Education, ASEE/NAE, 2024.Appendix 1: Project Information Appendix 2: Survey
Collection
2025 Northeast Section Conference
Authors
HughHugh L. McManus; B. Kris Jaeger-Helton
emphasizing the positive doi:10.1371/journal. pone.0169604effects of good team bonding activities. The requirement for [4] H. Godbole, E. A. Debartelo, and S. Takai, “Relationship Betweenthe activity was made explicit in memo assignments. Missing Team-Building Activities and Capstone Team Performance and Studentactivity discussions on the first memo were flagged for follow- Experience,” Paper 43602, ASEE 2024 Annual Conference andup. As a consequence, only 3 teams failed to report any activity Exposition, Portland OR, June 2024.this time around. Four teams reported competitive (although [5] H. McManus and B
Collection
2025 Northeast Section Conference
Authors
Peter F. Cavanaugh
. [7] E. Mollick and L. Mollick, “Assigning AI: Seven approaches for students, with prompts,” arXiv preprint arXiv:2306.10052, 2023. [8] L. S. Vygotsky and M. Cole, Mind in society: Development of higher psychological processes. Cambridge, MA: Harvard Univ. Press, 1978
Collection
2025 Northeast Section Conference
Authors
Tariq A. Alshugran; Lina H. Kloub, University of Connecticut
: https://as.vanderbilt.edu/gci-ai/syllabus-ai-policies/[12] H. Wang, A. Dang, Z. Wu, and S. Mac, “Generative ai in higher education: Seeing chatgpt through universities’ policies, resources, and guidelines,” Computers and Education: Artificial Intelligence, vol. 7, p. 100326, 2024.[13] J. Zhang, “Generative ai in higher education: Challenges and opportuni- ties for course learning,” Advances in Social Sciences Research Journal, vol. 12, no. 1, pp. 11–18, 2025.
Collection
2025 Northeast Section Conference
Authors
Jun Zhang; Peter Cavanaugh; Dan Tenney
Collection
2025 Northeast Section Conference
Authors
Navarun Gupta; Deana DiLuggo; Junling Hu; Abhilasha Tibrewal; Ahmed Elsayed; Theresa Bruckerhoff
participation andprofessional development rather than assuming that This HSI Pilot Project: Fostering Hispanic Achievement inprofessional skills have already been developed by graduation Computer Science and Engineering with Affinity Research(Buket et al., 2023). To show the university's commitment to Group Model (Project Achieve) is supported by the Nationalthe initiative beyond grant funding, the newly developed Science Foundation under Award Number FAIN-2150048.course, Introduction to Scientific Research. was supported by Any opinions, findings, conclusions or recommendationsa $3,000 donation from the School of Engineering to expressed in this material are those of the author(s) and do