Notice bibliographique
Résumé
<strong>1. PaperID 01032103: Impact of Elicitation Techniques on Requirement Validation in Software Industry in Pakistan (pp. 1-9)</strong> <em>Samiullah Hunzai, Department of Computer Software Engineering University of Engineering Peshawar, Pakistan. </em> <em>Ibrar Ali Shah, Department of Computer Software Engineering University of Engineering Peshawar, Pakistan. </em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong> <strong>2. PaperID 01032112: Training an Intelligent Tutoring System Using Reinforcement Learning (pp. 10-18)</strong> <em>Jezuina Koroveshi, University of Tirana, Faculty of Natural Sciences, Albania.</em> <em>Ana Ktona, University of Tirana, Faculty of Natural Sciences, Albania,</em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong> <strong>3. PaperID 01032115: Clustering Massive Packets using a Lock-Free Algorithm of Tree-Based Reduction on GPGPU (pp. 19-24)</strong> <em>Ruo Ando, National Institute of Informatics, Center for Cybersecurity Research and Development, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan</em> <em>Youki Kadobayashi, Nara Institute of Science and Technology, Graduate School of Science and Technology</em> <em>8916-5 Takayama, Ikoma, Nara 630-0192, Japan</em> <em>Hiroki Takakura, National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan</em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong> <strong>4. PaperID 01032120: Node Mobility Optimization in Multi-hop WBAN Using Genetic Algorithm (pp. 25-31)</strong> <em>Md. Taslim Arefin, Dept. of CSE, Jahangirnagar University, Department of ETE, Daffodil International University</em> <em>Mohammad Hanif Ali, Department of CSE, Jahangirnagar University, Dhaka, Bangladesh</em> <em>A.K.M. Fazlul Haque, Department of ETE, Daffodil International University, Dhaka, Bangladesh</em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong> <strong>5. PaperID 01032101: IP Camera: A Tool For Effective Surveillance System (pp. 32-37)</strong> <em>Osodeke, Efe Charles & Okoro Ugochukwu Bethel</em> <em>Department of computer Science, Michael Okpara University of Agriculture, Umudike</em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong> <strong>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)</strong> <em>Natania Frislya Nanulaitta, Kristoko Dwi Hartomo, Irwan Sembiring,</em> <em>Faculty of Information, Satya Wacana Christian University, Diponegoro Street,52-60, Salatiga, 50711, Indonesia</em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong> <strong>7. PaperID 01032123: A Novel Study for Spatio-Temporal Query Processing using Privacy Preservation (pp. 47-51)</strong> <em>Dileep Kumar, The University of Suwon, Hwaseong-Si Korea</em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong> <strong>8. PaperID 01032124: The Future of E-Government: From One Stop Shop to No Stop Shop solution (pp. 52-57)</strong> <em>Ina Hyseni & Endri Xhina, </em> <em>Department of Informatics, Faculty of Natural Sciences, University of Tirana</em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong> <strong>9. PaperID 01032127: Intelligent Software Defined Energy Management System for IoT networks (pp. 58-67)</strong> <em>Salma El-Shaarawi, Department of Network, Faculty of computer Science, Ahram Canadian University, Cairo, Egypt</em> <em>Samy Ghoniemy, Faculty of Informatics and Computer Science, The British University in Egypt, Cairo, Egypt</em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong> <strong>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)</strong> <em>Waheeda Almayyan, Computer Information Department, College of Business Studies, PAAET, Kuwait</em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong> <strong>11. PaperID 01032119: Bi-Temporal Implementation In Relational Database Management Systems: MS SQL Server (pp. 81-92)</strong> <em>Lyn Kurian, Rajagiri School of Engineering and Technology (Autonomous), Kakkanad, Ernakulam, India</em> <em>Jyotsna A., Rajagiri School of Engineering and Technology (Autonomous), Kakkanad, Ernakulam, India</em> <strong>Full Text: PDF [Academia.edu | Scopus | Archive | DOI | Google Scholar]</strong>
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».