Home Journals JNMES News New Advances in Biofuel vs Fossil fuels for Future Technology used in NLP

JOURNAL METRICS

Impact Factor (JCR) 2023: 0.7 ℹImpact Factor (JCR):

The JCR provides quantitative tools for ranking, evaluating, categorizing, and comparing journals. The impact factor is one of these; it is a measure of the frequency with which the “average article” in a journal has been cited in a particular year or period. The annual JCR impact factor is a ratio between citations and recent citable items published. Thus, the impact factor of a journal is calculated by dividing the number of current year citations to the source items published in that journal during the previous two years.

5-Year Impact Factor: 0.8 ℹ5-Year Impact Factor:

A 5-Year Impact Factor shows the long-term citation trend for a journal. This is calculated differently from the Journal Impact Factor, so it is not simply an average of the Impact Factors in the time period. The Impact Factor itself is based only on Web of Science Core Collection citation data from the last three years and thus reflects only recent impact. The Journal Impact Factor is the average number of times articles from the journal published in the past two years have been cited in the Journal Citation Reports year.

CiteScore 2023: 1.9 ℹCiteScore:

CiteScore is the number of citations received by a journal in one year to documents published in the three previous years, divided by the number of documents indexed in Scopus published in those same three years.

SCImago Journal Rank (SJR) 2023: 0.23 ℹSCImago Journal Rank (SJR):

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Source Normalized Impact per Paper (SNIP) 2023: 0.350 ℹSource Normalized Impact per Paper (SNIP):

SNIP measures a source’s contextual citation impact by weighting citations based on the total number of citations in a subject field. It helps you make a direct comparison of sources in different subject fields. SNIP takes into account characteristics of the source's subject field, which is the set of documents citing that source.

240x200fu_ben_.jpg

qqtu_pian_20240428144739.png

New Advances in Biofuel vs Fossil fuels for Future Technology used in NLP

May

25

2024

New Advances in Biofuel vs Fossil fuels for Future Technology used in NLP

Pollution on all scales is a topic of growing social concern. In this century, words like "recycling" and "valuation of waste and by-products with polluting potential" have become increasingly common. These words refer to actions that support policies focused on cost savings, are less and less dependent on oil, and respect the goals of the circular economy. Numerous international groups are debating the future of biofuels. Making biofuels from municipal garbage and industrial waste is one of the newest developments. Decontaminating what is already polluted and avoiding polluting anything else are two essential goals that humankind has established as benchmarks. The usage of biofuels is a very diverse industry that is always growing and changing, ranging from biofuels made from food waste or sewage sludge for internal combustion engines to converted biomass used for energy production in thermoelectric plants and household stoves.

Due to both the detrimental effects of global warming and the environmental degradation caused by fossil fuels, contemporary civilization is searching for substitutes for traditional fuels. Biofuels derived from renewable biomass are one of the most promising renewable energy sources. These resources have a great abundance and have no carbon footprint. But switching from fossil to renewable fuels must be effective, feasible, and economical. Renewable energies must be produced at competitive costs and in sufficient quantities, so production methods must be improved. The conversion of biomass into marketable biofuels is possible via biological, biochemical, and thermochemical methods in the context of circular economies and implementing sustainable processes. Biomass is seen as a renewable resource, and biofuels made from biomass have the potential to replace fossil fuels. When biomass grows, all of its carbon originates from the atmosphere and is released when it is burnt. Because of this, biomass is regarded as a carbon-neutral fuel. Developing biofuels is a successful strategy to extend the supply of finite fossil fuels, reduce greenhouse gas (GHG) emissions, and temper climate change. There are several ways to turn biomass into biofuels, including physical and biological processes. Biodiesel, bioethanol, Charcoal, biochar, liquefaction bio-oils, thermochemical, chemical, synthesis gas (syngas), biogas, biobutanol, and pyrolysis biohydrogen are among the popular and significant biofuels for bioenergy.

atural Language Processing has emerged as a crucial technology in the information society due to the explosive growth and development of sophisticated network technology. Information retrieval systems and machine translation products are only two examples of the numerous useful NLP applications that have been commercialized in recent years. But there are a lot of pertinent, unresolved theoretical and technological issues that need more consideration.

This special issue on Natural Language Processing (NLP) aims to bring together contributions by researchers from various human language technology fields, presenting results from cutting-edge research and describing the advanced state of the technology and its impact on our lives. It seeks for the production of biofuel, cutting-edge methods and biofuels are also encouraged. This area is highly recommended to include experimental and numerical investigations, modern knowledge, and unique and developing technologies.

Topic of interest

Enzymatic hydrolysis, and other biochemical pathways with NLP
Role of NLP in Anaerobic digestion and microbial fermentation
Microbial fuel cells for waste water treatment applications
Pre-treatment of raw materials for biofuel generation utilizing green chemistry concepts
New, integrated, and sustainable biofuel manufacturing techniques are being developed
Modelling and simulation of processes for producing sustainable biofuels
The future importance of biofuel in NLP systems
The advantages of biofuel over fossil fuels, including the environmental impact
Computerization/automation, nano/biotechnology, modelling/simulation
Use cases on NLP on Refinery process optimization, refining sector management, and major oil firms
Role of NLP on Carbon management, sequestration, and storage are all environmental concerns.
Advancements in NLP to forecast future market fluctuations and safety/security
Regulations governing business and international commerce, as well as political/governmental/economic difficulties
Future technical and business implications of biofuels vs. Fossil fuels