Omer Faruk Ertugrul, was born in Batman, Turkey in 1978. He received the B.S. degree from the Hacettepe University, Department of Electrical and Electronics Engineering in 2001, M.S. and Ph.D. degrees in Electrical and Electronics Engineering in 2010, and 2015, respectively. His research interests include machine learning and signal processing. He is in 100,000 top-scientists list in the world, %2 top-scientist list in the world, in Turkey Top 10.000 Scientists, and in AD Scientific Index - 2022 Turkey Top 10.000 Scientists, in 2019, 2020, 2021, and 2022 respectively. He is currently associate editor in NC&A (SCI-E indexed-Q1) in Middle East excluding Iran. He is also co-founder/co-owner and CTO in INSENSE, ABRH and SOFTSENSE. Josep M. Guerrero received his B.Sc. (1997), M.Sc. (2000), and Ph.D. (2003) in engineering from the Technical University of Catalonia, Barcelona. He is currently pursuing an M.Sc. in Psychobiology and Cognitive Neuroscience. Since 2011, he has been a Full Professor at AAU Energy, Aalborg University, Denmark, leading the Microgrid Research Program. In 2019, he founded the Center for Research on Microgrids (CROM). His research covers microgrids, IoT, cybersecurity, maritime and space microgrids, and smart medical systems. He is an Associate Editor for IEEE TRANSACTIONS and has over 900 papers with 117,000 citations. Recognized as a Highly Cited Researcher (2014-2022), he received the IEEE Bimal Bose Award (2021) and IEEE PES Douglas M. Staszesky Award (2022).Musa Yilmaz received his Associate Professor certificate in Electrical-Electronics and Communication Engineering. He works at the University of California, Riverside, and Batman University. He received his M.Sc. degree from Marmara University, Istanbul, Turkey, in 2004, and his Ph.D. degree from the same institution in 2013. From 2015 to 2016, Dr. Yilmaz was a visiting scholar at the Smart Grid Research Center (SMERC) at the University of California, Los Angeles (UCLA). His primary research interests include smart grid technologies, renewable energy, machine learning, and signal processing. Dr. Yilmaz is a partner of the medical company Biosys LLC. He has served as Editor-in-Chief of the Balkan Journal of Electrical and Computer Engineering (BAJECE) and the European Journal of Technique (EJT). Additionally, he is the owner of INESEG, a publishing organization. Dr. Yilmaz has authored over 50 research articles, several book chapters, and frequently delivers invited keynote lectures at international conferences. He has also led his research team as the Principal Investigator in several European projects. He is an IEEE Senior Member.

• Survey of machine learning methods from shallow learning to deep learning.- Shallow learning vs Deep learning in engineering applications.- Shallow learning vs Deep learning in real-world applications.- Shallow learning vs Deep learning in social applications.- Shallow learning vs Deep learning in image processing applications.- Shallow learning vs Deep learning in biomedical applications.- Shallow learning vs Deep learning in anomaly detection applications.- Shallow learning vs Deep learning in natural language processing applications.- Shallow learning vs Deep learning in speech recognition applications.- Shallow learning vs Deep learning in recommendation systems.- Shallow learning vs Deep learning in autonomous systems.- Shallow Learning vs Deep Learning in Smart Grid Applications.

Omer Faruk Ertugrul, was born in Batman, Turkey in 1978. He received the B.S. degree from the Hacettepe University, Department of Electrical and Electronics Engineering in 2001, M.S. and Ph.D. degrees in Electrical and Electronics Engineering in 2010, and 2015, respectively. His research interests include machine learning and signal processing. He is in 100,000 top-scientists list in the world, %2 top-scientist list in the world, in Turkey Top 10.000 Scientists, and in AD Scientific Index - 2022 Turkey Top 10.000 Scientists, in 2019, 2020, 2021, and 2022 respectively. He is currently associate editor in NC&A (SCI-E indexed-Q1) in Middle East excluding Iran. He is also co-founder/co-owner and CTO in INSENSE, ABRH and SOFTSENSE. Josep M. Guerrero received his B.Sc. (1997), M.Sc. (2000), and Ph.D. (2003) in engineering from the Technical University of Catalonia, Barcelona. He is currently pursuing an M.Sc. in Psychobiology and Cognitive Neuroscience. Since 2011, he has been a Full Professor at AAU Energy, Aalborg University, Denmark, leading the Microgrid Research Program. In 2019, he founded the Center for Research on Microgrids (CROM). His research covers microgrids, IoT, cybersecurity, maritime and space microgrids, and smart medical systems. He is an Associate Editor for IEEE TRANSACTIONS and has over 900 papers with 117,000 citations. Recognized as a Highly Cited Researcher (2014-2022), he received the IEEE Bimal Bose Award (2021) and IEEE PES Douglas M. Staszesky Award (2022).Musa Yilmaz received his Associate Professor certificate in Electrical-Electronics and Communication Engineering. He works at the University of California, Riverside, and Batman University. He received his M.Sc. degree from Marmara University, Istanbul, Turkey, in 2004, and his Ph.D. degree from the same institution in 2013. From 2015 to 2016, Dr. Yilmaz was a visiting scholar at the Smart Grid Research Center (SMERC) at the University of California, Los Angeles (UCLA). His primary research interests include smart grid technologies, renewable energy, machine learning, and signal processing. Dr. Yilmaz is a partner of the medical company Biosys LLC. He has served as Editor-in-Chief of the Balkan Journal of Electrical and Computer Engineering (BAJECE) and the European Journal of Technique (EJT). Additionally, he is the owner of INESEG, a publishing organization. Dr. Yilmaz has authored over 50 research articles, several book chapters, and frequently delivers invited keynote lectures at international conferences. He has also led his research team as the Principal Investigator in several European projects. He is an IEEE Senior Member.

• Survey of machine learning methods from shallow learning to deep learning.- Shallow learning vs Deep learning in engineering applications.- Shallow learning vs Deep learning in real-world applications.- Shallow learning vs Deep learning in social applications.- Shallow learning vs Deep learning in image processing applications.- Shallow learning vs Deep learning in biomedical applications.- Shallow learning vs Deep learning in anomaly detection applications.- Shallow learning vs Deep learning in natural language processing applications.- Shallow learning vs Deep learning in speech recognition applications.- Shallow learning vs Deep learning in recommendation systems.- Shallow learning vs Deep learning in autonomous systems.- Shallow Learning vs Deep Learning in Smart Grid Applications.

Omer Faruk Ertugrul, was born in Batman, Turkey in 1978. He received the B.S. degree from the Hacettepe University, Department of Electrical and Electronics Engineering in 2001, M.S. and Ph.D. degrees in Electrical and Electronics Engineering in 2010, and 2015, respectively. His research interests include machine learning and signal processing. He is in 100,000 top-scientists list in the world, %2 top-scientist list in the world, in Turkey Top 10.000 Scientists, and in AD Scientific Index - 2022 Turkey Top 10.000 Scientists, in 2019, 2020, 2021, and 2022 respectively. He is currently associate editor in NC&A (SCI-E indexed-Q1) in Middle East excluding Iran. He is also co-founder/co-owner and CTO in INSENSE, ABRH and SOFTSENSE. Josep M. Guerrero received his B.Sc. (1997), M.Sc. (2000), and Ph.D. (2003) in engineering from the Technical University of Catalonia, Barcelona. He is currently pursuing an M.Sc. in Psychobiology and Cognitive Neuroscience. Since 2011, he has been a Full Professor at AAU Energy, Aalborg University, Denmark, leading the Microgrid Research Program. In 2019, he founded the Center for Research on Microgrids (CROM). His research covers microgrids, IoT, cybersecurity, maritime and space microgrids, and smart medical systems. He is an Associate Editor for IEEE TRANSACTIONS and has over 900 papers with 117,000 citations. Recognized as a Highly Cited Researcher (2014-2022), he received the IEEE Bimal Bose Award (2021) and IEEE PES Douglas M. Staszesky Award (2022).Musa Yilmaz received his Associate Professor certificate in Electrical-Electronics and Communication Engineering. He works at the University of California, Riverside, and Batman University. He received his M.Sc. degree from Marmara University, Istanbul, Turkey, in 2004, and his Ph.D. degree from the same institution in 2013. From 2015 to 2016, Dr. Yilmaz was a visiting scholar at the Smart Grid Research Center (SMERC) at the University of California, Los Angeles (UCLA). His primary research interests include smart grid technologies, renewable energy, machine learning, and signal processing. Dr. Yilmaz is a partner of the medical company Biosys LLC. He has served as Editor-in-Chief of the Balkan Journal of Electrical and Computer Engineering (BAJECE) and the European Journal of Technique (EJT). Additionally, he is the owner of INESEG, a publishing organization. Dr. Yilmaz has authored over 50 research articles, several book chapters, and frequently delivers invited keynote lectures at international conferences. He has also led his research team as the Principal Investigator in several European projects. He is an IEEE Senior Member.

• Survey of machine learning methods from shallow learning to deep learning.- Shallow learning vs Deep learning in engineering applications.- Shallow learning vs Deep learning in real-world applications.- Shallow learning vs Deep learning in social applications.- Shallow learning vs Deep learning in image processing applications.- Shallow learning vs Deep learning in biomedical applications.- Shallow learning vs Deep learning in anomaly detection applications.- Shallow learning vs Deep learning in natural language processing applications.- Shallow learning vs Deep learning in speech recognition applications.- Shallow learning vs Deep learning in recommendation systems.- Shallow learning vs Deep learning in autonomous systems.- Shallow Learning vs Deep Learning in Smart Grid Applications.