Proceedings of 14th International Exergy, Energy and Environment Symposium
Notice bibliographique
Résumé
Today, energy and environmental issues that directly trigger and impact climate change increase the need for strategic models that will enhance societal sustainability day by day. Global warming, which occurs as a result of pollution caused by human-induced and fossil fuel consumption, increases the Earth's average surface temperature, and its impact continues to adversely affect life forms day by day. Since the industrial revolution, while greenhouse gas emissions, mostly released by burning fossil fuels such as coal, oil and natural gas continue to pollute the world, clean fuels such as hydrogen that will reshape a carbon-free future and their system solutions are increasing their effectiveness day by day. Energy and environmental sustainability are multidisciplinary and comprehensive in terms of frameworks and impacts. Today's emerging green call and decarbonization issues include basic focuses such as the environment, people, society and ecosystem. The 14th International Exergy, Energy, and Environment Symposium (IEEES-14), organized and conducted within this framework, took place in Istanbul, Turkey, from December 24 to 27, 2023. The event was organized and collaborated on by Piri Reis University, Ontario Tech University, the Chamber of Shipping, and the Hydrogen Technologies Association. Turkish Lloyd, Shipbuilders' Association (GISBIR), Tuzla Municipality, Emar EVD, Turkish Economy Bank, and Turkish Airlines provided strong support for the symposium, which was conducted as a multinational event with scientific presentations. The 14th International Exergy, Energy and Environment Symposium (IEEES-14) aimed to bring together academicians, researchers, scientists, technocrats and practicing engineers working in various disciplines from energy to the environment. The symposium includes opening speeches, guest speeches, oral and wall presentations, and special sessions on sectoral topics. As part of the symposium themes, there have been more than 40 parallel sessions from various disciplines. IEEES-14 has been based on energy and environmental sustainability as an effective platform to disseminate the ideas, experiences and knowledge of researchers and engineers working on sustainable energy and environmental systems worldwide. IEEES-14 has covered a wide range of current topics such as Renewable Energy Technologies, Solar Energy, Oil and Gas Technologies, Smart Grids, Green and Electric Transportation, Alternative and Clean Fuels, Hydrogen and Fuel Cell Technologies, Nuclear Energy, Desalination Technologies, Wastewater Treatment, and Environmental Technologies. The symposium aims to increase the visibility and advancement of cleaner technologies such as green energy, renewable energy, and environmental science. In addition, topics such as smart cities, green buildings, energy management systems, and decarbonization have also been included. Societal and environmental threats have also been addressed by revealing challenges of life cycle assessment, CO2 reduction technologies, biological waste utilization, wastewater treatment, challenges in nuclear energy, and transportation fuels. IEEES-14 includes 6 keynote presentations, 6 invited speaker participations, over 40 parallel sessions, and more than 30 poster presentations. Within the scope of IEEES-14, a total of 163 presentations were delivered from 27 different countries. IEEES-14 has been a successful symposium, opening new perspectives that support energy and environmental sustainability with the insights it presented on academic and social platforms. I extend my heartfelt gratitude to the strong support provided by Piri Reis University Rectorate and its Rector Prof. Dr. Nafiz Arıca, the Organizing Institutions, Supporting Organizations, the Organization Committee, and the members of the organizing board, as well as the Founding Chair Prof. Dr. İbrahim Dinçer, for making this event possible. I sincerely thank our sponsors for their assistance, support, and collaboration. Finally, I would like to express my heartfelt gratitude to all participants whose contributions and support have led to the great success of the symposium.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,109 | 0,053 |
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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».