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Record W7133291266

Proceedings of 14th International Exergy, Energy and Environment Symposium

2024· article· en· W7133291266 on OpenAlexaboutno aff
Mehmet Ziya Söğüt

Bibliographic record

VenuePiri Reis University Institutional Repository · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMaritime Transport Emissions and Efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityMultidisciplinary approachFossil fuelGreenhouse gasMultinational corporationGrand ChallengesClimate changeEnergy (signal processing)Environmental pollution
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.004
GPT teacher head0.160
Teacher spread0.156 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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