Bibliographic record
Abstract
1. PaperID 01032103: Impact of Elicitation Techniques on Requirement Validation in Software Industry in Pakistan (pp. 1-9) Samiullah Hunzai, Department of Computer Software Engineering University of Engineering Peshawar, Pakistan. Ibrar Ali Shah, Department of Computer Software Engineering University of Engineering Peshawar, Pakistan. Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar] 2. PaperID 01032112: Training an Intelligent Tutoring System Using Reinforcement Learning (pp. 10-18) Jezuina Koroveshi, University of Tirana, Faculty of Natural Sciences, Albania. Ana Ktona, University of Tirana, Faculty of Natural Sciences, Albania, Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar] 3. PaperID 01032115: Clustering Massive Packets using a Lock-Free Algorithm of Tree-Based Reduction on GPGPU (pp. 19-24) Ruo Ando, National Institute of Informatics, Center for Cybersecurity Research and Development, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan Youki Kadobayashi, Nara Institute of Science and Technology, Graduate School of Science and Technology 8916-5 Takayama, Ikoma, Nara 630-0192, Japan Hiroki Takakura, National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar] 4. PaperID 01032120: Node Mobility Optimization in Multi-hop WBAN Using Genetic Algorithm (pp. 25-31) Md. Taslim Arefin, Dept. of CSE, Jahangirnagar University, Department of ETE, Daffodil International University Mohammad Hanif Ali, Department of CSE, Jahangirnagar University, Dhaka, Bangladesh A.K.M. Fazlul Haque, Department of ETE, Daffodil International University, Dhaka, Bangladesh Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar] 5. PaperID 01032101: IP Camera: A Tool For Effective Surveillance System (pp. 32-37) Osodeke, Efe Charles & Okoro Ugochukwu Bethel Department of computer Science, Michael Okpara University of Agriculture, Umudike Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar] 6. PaperID 01032122: Case Based Reasoning Approach for Market Basket Analysis on the Performance of Issuers in the Home Appliances Industry Sector (pp. 38-46) Natania Frislya Nanulaitta, Kristoko Dwi Hartomo, Irwan Sembiring, Faculty of Information, Satya Wacana Christian University, Diponegoro Street,52-60, Salatiga, 50711, Indonesia Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar] 7. PaperID 01032123: A Novel Study for Spatio-Temporal Query Processing using Privacy Preservation (pp. 47-51) Dileep Kumar, The University of Suwon, Hwaseong-Si Korea Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar] 8. PaperID 01032124: The Future of E-Government: From One Stop Shop to No Stop Shop solution (pp. 52-57) Ina Hyseni & Endri Xhina, Department of Informatics, Faculty of Natural Sciences, University of Tirana Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar] 9. PaperID 01032127: Intelligent Software Defined Energy Management System for IoT networks (pp. 58-67) Salma El-Shaarawi, Department of Network, Faculty of computer Science, Ahram Canadian University, Cairo, Egypt Samy Ghoniemy, Faculty of Informatics and Computer Science, The British University in Egypt, Cairo, Egypt Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar] 10. PaperID 01032114: Improved Discriminatory Ability using Hybrid Feature Selection via Approach Inspired by Grey Wolf Search and Ensemble Classifier for Medical Datasets (pp. 68-80) Waheeda Almayyan, Computer Information Department, College of Business Studies, PAAET, Kuwait Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar] 11. PaperID 01032119: Bi-Temporal Implementation In Relational Database Management Systems: MS SQL Server (pp. 81-92) Lyn Kurian, Rajagiri School of Engineering and Technology (Autonomous), Kakkanad, Ernakulam, India Jyotsna A., Rajagiri School of Engineering and Technology (Autonomous), Kakkanad, Ernakulam, India Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.519 | 0.469 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".