Sadaghıanı, Omıd Karımı

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/8274
Name Variants
O.K.Sadaghıanı
O., Sadaghiani
O.,Sadaghıanı
O.K.Sadaghiani
S., Omid Karimi
Sadaghıanı,O.K.
Omid Karimi, Sadaghiani
Sadaghıanı, Omıd Karımı
Omıd Karımı, Sadaghıanı
Sadaghiani,O.K.
Sadaghiani, Omid Karimi
S.,Omid Karimi
S.,Omıd Karımı
Karimi Sadaghiani, Omid
Karimi Sadaghiani,O.
Job Title
Doktor Öğretim Üyesi
Email Address
omid.sadaghiani@atilim.edu.tr
Main Affiliation
Energy Systems Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

2

ZERO HUNGER
ZERO HUNGER Logo

2

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
SUSTAINABLE CITIES AND COMMUNITIES Logo

0

Research Products

14

LIFE BELOW WATER
LIFE BELOW WATER Logo

1

Research Products

6

CLEAN WATER AND SANITATION
CLEAN WATER AND SANITATION Logo

0

Research Products

1

NO POVERTY
NO POVERTY Logo

0

Research Products

5

GENDER EQUALITY
GENDER EQUALITY Logo

0

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

0

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
PEACE, JUSTICE AND STRONG INSTITUTIONS Logo

0

Research Products

17

PARTNERSHIPS FOR THE GOALS
PARTNERSHIPS FOR THE GOALS Logo

0

Research Products

15

LIFE ON LAND
LIFE ON LAND Logo

3

Research Products

10

REDUCED INEQUALITIES
REDUCED INEQUALITIES Logo

0

Research Products

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

4

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
DECENT WORK AND ECONOMIC GROWTH Logo

0

Research Products

4

QUALITY EDUCATION
QUALITY EDUCATION Logo

0

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

4

Research Products

3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo

0

Research Products

13

CLIMATE ACTION
CLIMATE ACTION Logo

0

Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

5

Articles

5

Views / Downloads

12/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

27

Scopus Citation Count

39

WoS h-index

3

Scopus h-index

4

Patents

0

Projects

0

WoS Citations per Publication

5.40

Scopus Citations per Publication

7.80

Open Access Source

2

Supervised Theses

0

Google Analytics Visitor Traffic

JournalCount
Biomass and Bioenergy1
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects1
Energy Technology1
International Journal of Green Energy1
Journal of Material Cycles and Waste Management1
Current Page: 1 / 1

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

20231
Reset filters

Settings

Has files: falseSubject: biomass provision

Scholarly Output Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Review
    Citation - WoS: 8
    Citation - Scopus: 11
    A Review on the Applications of Machine Learning and Deep Learning in Agriculture Section for the Production of Crop Biomass Raw Materials
    (Taylor & Francis inc, 2023) Peng, Wei; Karimi Sadaghiani, Omid
    The application of biomass, as an energy resource, depends on four main steps of production, pre-treatment, bio-refinery, and upgrading. This work reviews Machine Learning applications in the biomass production step with focusing on agriculture crops. By investigating numerous related works, it is concluded that there is a considerable reviewing gap in collecting the applications of Machine Learning in crop biomass production. To fill this gap by the current work, the origin of biomass raw materials is explained, and the application of Machine Learning in this section is scrutinized. Then, the kinds and resources of biomass as well as the role of machine learning in these fields are reviewed. Meanwhile, the sustainable production of farming-origin biomass and the effective factors in this issue are explained, and the application of Machine Learning in these areas are surveyed. Summarily, after analysis of numerous papers, it is concluded that Machine Learning and Deep Learning are widely utilized in crop biomass production areas to enhance the crops production quantity, quality, and sustainability, improve the predictions, decrease the costs, and diminish the products losses. According to the statistical analysis, in 19% of the studies conducted about the application of Machine Learning and Deep Learning in crop biomass raw materials, Artificial Neural Network (ANN) algorithm has been applied. Afterward, the Random Forest (RF) and Super Vector Machine (SVM) are the second and third most-utilized algorithms applied in 17% and 15% of studies, respectively. Meanwhile, 26% of studies focused on the applications of Machine Learning and Deep Learning in the sugar crops. At the second and third places, the starchy crops and algae with 23% and 21% received more attention of researchers in the utilization of Machine Learning and Deep Learning techniques.