Announcements

MDPI will be attending the China National Computer Congress 2023 (CNCC 2023) in Shenyang, China, which will take place from 26 to 28 October 2023. CNCC 2023 will explore the latest progress in computer science, artificial intelligence, big data drive, cloud database, quantum computer, and other related research topics. The three-day conference brought together Turing Award winners, academicians of the Chinese Academy of Sciences, top international scholars, and well-known entrepreneurs to discuss cutting-edge trends and share innovations.

The following MDPI journals will be represented:

• Electronics;
• MTI;
• Algorithms;
• Computation;
• Cryptography;
• Future Internet;
• Information;
• Sensors.

If you are attending the conference, please visit our booth. Our delegates look forward to meeting you in person and answering any questions that you may have. For more information about the conference, please visit the following link: https://ccf.org.cn/cncc2023.

1. “Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications”
by L. G. Divyanth, D. S. Guru, Peeyush Soni, Rajendra Machavaram, Mohammad Nadimi and Jitendra Paliwal
Algorithms 2022, 15(11), 401; https://doi.org/10.3390/a15110401
Available online: https://www.mdpi.com/1999-4893/15/11/401

2. “GA-Reinforced Deep Neural Network for Net Electric Load Forecasting in Microgrids with Renewable Energy Resources for Scheduling Battery Energy Storage Systems”
by Chaoran Zheng, Mohsen Eskandari, Ming Li and Zeyue Sun
Algorithms 2022, 15(10), 338; https://doi.org/10.3390/a15100338
Available online: https://www.mdpi.com/1999-4893/15/10/338

3. “Design of Multi-Objective-Based Artificial Intelligence Controller for Wind/Battery-Connected Shunt Active Power Filter”
by Srilakshmi Koganti, Krishna Jyothi Koganti and Surender Reddy Salkuti
Algorithms 2022, 15(8), 256; https://doi.org/10.3390/a15080256
Available online: https://www.mdpi.com/1999-4893/15/8/256

4. “Improved JPS Path Optimization for Mobile Robots Based on Angle-Propagation Theta* Algorithm”
by Yuan Luo, Jiakai Lu, Qiong Qin and Yanyu Liu
Algorithms 2022, 15(6), 198; https://doi.org/10.3390/a15060198
Available online: https://www.mdpi.com/1999-4893/15/6/198

5. “A Survey on Network Optimization Techniques for Blockchain Systems”
by Robert Antwi, James Dzisi Gadze, Eric Tutu Tchao, Axel Sikora, Henry Nunoo-Mensah, Andrew Selasi Agbemenu, Kwame Opunie-Boachie Obour Agyekum, Justice Owusu Agyemang, Dominik Welte and Eliel Keelson
Algorithms 2022, 15(6), 193; https://doi.org/10.3390/a15060193
Available online: https://www.mdpi.com/1999-4893/15/6/193

6. “Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum Disorder”
by Mousumi Bala, Mohammad Hanif Ali, Md. Shahriare Satu, Khondokar Fida Hasan and Mohammad Ali Moni
Algorithms 2022, 15(5), 166; https://doi.org/10.3390/a15050166
Available online: https://www.mdpi.com/1999-4893/15/5/166

7. “Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM”
by Thomas Lartigue, Stanley Durrleman and Stéphanie Allassonnière
Algorithms 2022, 15(3), 78; https://doi.org/10.3390/a15030078
Available online: https://www.mdpi.com/1999-4893/15/3/78

8. “Machine Learning in Cereal Crops Disease Detection: A Review”
by Fraol Gelana Waldamichael, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano and Samuel Rahimeto Kebede
Algorithms 2022, 15(3), 75; https://doi.org/10.3390/a15030075
Available online: https://www.mdpi.com/1999-4893/15/3/75

We would like to thank all of the research groups behind these exceptional papers for their contributions to Algorithms (ISSN: 1999-4893). You are welcome to circulate this announcement among your colleagues or through your network.

The articles below have been selected as the 2022 Issue Cover Articles by the Editorial Office of Algorithms (ISSN: 1999-4893). The authors of these articles work in multiple fields within the scope of Algorithms, and we sincerely hope they can provide insights and references for scholars in related fields.

MDPI’s Best PhD Thesis Awards are presented to recognize the young scholars who are judged to have completed the most outstanding PhD thesis in their field of research and to encourage them to continue their outstanding work and further contribution to their field.

We would like to warmly congratulate the winners of the 2022 Best PhD Thesis Awards and wish them success with their future research endeavors.

Informatics:

• “Application of Public Health Informatics to Monitor and Prevent Healthcare Associated Infections and Related Outcomes in Intensive Care Units”
  by Giuliana Favara, University of Catania, Italy

Mathematics:

• “Dynamical Behaviours of Size Dependant and Functionally Graded Beams via Numerical Solutions”
  by Subrat Kumar Jena, National Institute of Technology Rourkela, India

MTI:

• “Understanding the Design of Playful Gustosonic Experiences”
  by Yan Wang, Monash University, Australia

Symmetry:

• “Integrability of Dynamical Systems: A Geometrical Viewpoint”
  by Antonios Mitsopoulos, National and Kapodistrian University of Athens, Greece

About MDPI Awards:

In order to reward the academic community, especially young researchers and enhance communication among scientists, MDPI journals regularly offer various awards to researchers in specific fields. These awards, serving as a source of inspiration and recognition, help raise the influence of talented individuals who have been credited with outstanding achievements and are making a significant contribution to the advancement of their fields.

MDPI’s Young Investigator Awards recognize promising junior researchers, acknowledge their contributions, and enhance communication among scientists. We are proud to present the winners for the year 2022 in computer science and mathematics. The winners were selected by the journals’ Award Evaluation Committee.

We warmly congratulate the awarded young investigators for their outstanding contributions.

Axioms:

• S. Ivan Trapasso, University of Genoa, Italy

Symmetry:

• Yao Chen, Southeast University, China

About MDPI Awards:

In order to reward the academic community, especially young researchers and enhance communication among scientists, MDPI journals regularly offer various awards to researchers in specific fields. These awards, serving as a source of inspiration and recognition, help raise the influence of talented individuals who have been credited with outstanding achievements and are making a significant contribution to the advancement of their fields.

To explore more MDPI awards, please click here.

In order to acknowledge our reviewers, who so generously dedicate their time to reviewing papers and demonstrate diligence, professionalism, and timeliness when reviewing manuscripts, MDPI journals regularly offer outstanding reviewer awards to scholars who participate in the peer-review process.

We are proud to recognize the winners for the year 2022 in computer science and mathematics for their outstanding contributions among the extensive competition by presenting them with an Outstanding Reviewer Award.

We would like to take this opportunity to congratulate all the winners on their achievements.

Algorithms:

• Stefano Ferilli, University of Bari Aldo Moro, Italy
• Tomasz Hachaj, Pedagogical University of Krakow, Poland
• Roberto Saia, University of Cagliari, Italy

Future Internet:

• Nirmalya Thakur, Emory University, USA
• Yustus Eko Oktian, Pusan National University, Republic of Korea
• Douglas O’Shaughnessy, Institut National de la Recherche Scientifique, Canada

• Robertas Damaševičius, Silesian University of Technology, Poland
• Leonardo Rundo, University of Salerno, Italy

Mathematics:

• Manuel De La Sen, University of the Basque Country, Spain
• Takeshi Emura, Kurume University, Japan
• Vladica Stojanović, University of Pristina, Serbia
• Weizhong Tian, Shenzhen Technology University, China
• Ferdinando Di Martino, University of Naples Federico II, Italy

Signals:

• Dumitrescu Catalin, University Politehnica of Bucharest (UPB), Romania
• Gheorghe Sebestyen, Technical University of Cluj-Napoca, Romania

Symmetry:

• Lorentz Jäntschi, Babeş-Bolyai University, Romania
• Maria Alessandra Ragusa, Università di Catania, Italy

About MDPI Awards:

In order to reward the academic community, especially young researchers and enhance communication among scientists, MDPI journals regularly offer various awards to researchers in specific fields. These awards, serving as a source of inspiration and recognition, help raise the influence of talented individuals who have been credited with outstanding achievements and are making a significant contribution to the advancement of their fields.

To explore more MDPI awards, please click here.

The purpose of our Best Paper Awards is to promote and recognize the most impactful contributions published within MDPI journals.

The editors of each journal carefully selected reviews and research papers through a rigorous judging process based on criteria such as the scientific merit, overall impact, and the quality of presentation of the papers published in the journal.

We are honored to present the winners announced for the year 2022 in computer science and mathematics, who were selected amongst extensive competition, and congratulate the authors for their outstanding scientific publications. MDPI will continue to provide support and recognition to the academic community.

Algorithms:

• “An Improved Greedy Heuristic for the Minimum Positive Influence Dominating Set Problem in Social Networks”
  by Salim Bouamama and Christian Blum
  Algorithms 2021, 14(3), 79; https://doi.org/10.3390/a14030079

Axioms:

• “A New gH-Difference for Multi-Dimensional Convex Sets and Convex Fuzzy Sets”
  by Luciano Stefanini and Barnabas Bede
  Axioms 2019, 8(2), 48; https://doi.org/10.3390/axioms8020048

• “Initial Value Problem for Nonlinear Fractional Differential Equations with ψ-Caputo Derivative Via Monotone Iterative Technique”
  by Choukri Derbazi, Zidane Baitiche, Mouffak Benchohra and Alberto Cabada
  Axioms 2020, 9(2), 57; https://doi.org/10.3390/axioms9020057

Computation:

• “Machine-Learning Methods for Computational Science and Engineering”
  by Michael Frank, Dimitris Drikakis and Vassilis Charissis
  Computation 2020, 8(1), 15; https://doi.org/10.3390/computation8010015

• “Evaluation of a Near-Wall-Modeled Large Eddy Lattice Boltzmann Method for the Analysis of Complex Flows Relevant to IC Engines”
  by Marc Haussmann, Florian Ries, Jonathan B. Jeppener-Haltenhoff, Yongxiang Li, Marius Schmidt, Cooper Welch, Lars Illmann, Benjamin Böhm, Hermann Nirschl, Mathias J. Krause and Amsini Sadiki
  Computation 2020, 8(2), 43; https://doi.org/10.3390/computation8020043

Computers:

• “Recommendations for Integrating a P300-Based Brain–Computer Interface in Virtual Reality Environments for Gaming: An Update”
  by Grégoire Cattan, Anton Andreev and Etienne Visinoni
  Computers 2020, 9(4), 92; https://doi.org/10.3390/computers9010008

• “Improving Internet of Things (IoT) Security with Software-Defined Networking (SDN)”
  by Abdullah Al Hayajneh, Md Zakirul Alam Bhuiyan and Ian McAndrew
  Computers 2020, 9(1), 8; https://doi.org/10.3390/computers9010008

Data:

• “Trend Analysis on Adoption of Virtual and Augmented Reality in the Architecture, Engineering, and Construction Industry”
  by Noghabaei Mojtaba, Arsalan Heydarian, Vahid Balali and Kevin Han
  Data 2020, 5(1), 26; https://doi.org/10.3390/data5010026

Future Internet:

• “An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks”
  by Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Muhammad Shafique, Guido Masera and Maurizio Martina
  Future Internet 2020, 12(7), 113, https://doi.org/10.3390/fi12070113

Information:

• “Fastai: A Layered API for Deep Learning”
  by Jeremy Howard and Sylvain Gugger
  Information 2020, 11(2), 108; https://doi.org/10.3390/info11020108

• “From HMI to HMIs: Towards an HMI Framework for Automated Driving”
  by Klaus Bengler, Michael Rettenmaier, Nicole Fritz and Alexander Feierle
  Information 2020, 11(2), 61; https://doi.org/10.3390/info11020061

• “Explainable Deep Learning Models in Medical Image Analysis”
  by Amitojdeep Singh, Sourya Sengupta and Vasudevan Lakshminarayanan
  J. Imaging 2020, 6(6), 52; https://doi.org/10.3390/jimaging6060052

Mathematics:

• “A Regularity Criterion in Weak Spaces to Boussinesq Equations”
  by Ravi P. Agarwal, Sadek Gala and Maria Alessandra Ragusa
  Mathematics 2020, 8(6), 920; https://doi.org/10.3390/math8060920

• “Regarding New Wave Patterns of the Newly Extended Nonlinear (2+1)-Dimensional Boussinesq Equation with Fourth Order”
  by Juan Luis García Guirao, Haci Mehmet Baskonus and Ajay Kumar
  Mathematics 2020, 8(3), 341; https://doi.org/10.3390/math8030341

• “Elephant Herding Optimization: Variants, Hybrids, and Applications”
  by Juan Li, Hong Lei, Amir H. Alavi and Gai-Ge Wang
  Mathematics 2020, 8(9), 1415; https://doi.org/10.3390/math8091415

• “CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network”
  by Mustaqeem and Soonil Kwon
  Mathematics 2020, 8(12), 2133; https://doi.org/10.3390/math8122133

• “Soft Open Bases and a Novel Construction of Soft Topologies from Bases for Topologies”
  by José Carlos R. Alcantud
  Mathematics 2020, 8(5), 672; https://doi.org/10.3390/math8050672

• “An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety”
  by Sarbast Moslem, Muhammet Gul, Danish Farooq, Erkan Celik, Omid Ghorbanzadeh and Thomas Blaschke
  Mathematics 2020, 8(3), 414; https://doi.org/10.3390/math8030414

Signals:

• “Recognition of Blinks Activity Patterns during Stress Conditions Using CNN and Markovian Analysis”
  by Alexandra I. Korda, Giorgos Giannakakis, Errikos Ventouras, Pantelis A. Asvestas, Nikolaos Smyrnis, Kostas Marias and George K. Matsopoulos
  Signals 2021, 2(1), 55-71; https://doi.org/10.3390/signals2010006

• “An Educational Guide through the FMP Notebooks for Teaching and Learning Fundamentals of Music Processing”
  by Meinard Müller
  Signals 2021, 2(2), 245-285; https://doi.org/10.3390/signals2020018

Symmetry:

• “On the Remarkable Superconductivity of FeSe and Its Close Cousins”
  by Andreas Kreisel, Peter J. Hirschfeld and Brian M. Andersen
  Symmetry 2020, 12(9), 1402; https://doi.org/10.3390/sym12091402

• “Bilaterally Symmetrical: To Be or Not to Be?”
  by Michael C. Corballis
  Symmetry 2020, 12(3), 326; https://doi.org/10.3390/sym12030326

• “Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods”
  by Wojciech Sałabun, Jarosław Wątróbski and Andrii Shekhovtsov
  Symmetry 2020, 12(9), 1549; https://doi.org/10.3390/sym12091549

• “Empirical Consequences of Emergent Mass”
  by Craig D. Roberts
  Symmetry 2020, 12(9), 1468; https://doi.org/10.3390/sym12091468

About MDPI Awards:

In order to reward the academic community, especially young researchers and enhance communication among scientists, MDPI journals regularly offer various awards to researchers in specific fields. These awards, serving as a source of inspiration and recognition, help raise the influence of talented individuals who have been credited with outstanding achievements and are making a significant contribution to the advancement of their fields.

To explore more MDPI awards, please click here.

With the first issue released in June 2023, five new MDPI journals disseminating multi-disciplinary science are due to launch, which will cover the subjects of medicine & pharmacology, biology and physical sciences.

The newly launched journals will be overseen by professional Editorial Board Members and Editors to ensure an accurate and rapid publication, rigorous peer review and broad visibility.

Please feel free to browse and discover more about the new journals below.

Journal	Founding Editor-in-Chief	Journal topics (selected)
	Prof. Dr. Jun Ma, Peking University, China| Editorial | view inaugural issue	growth and development; diet and nutrients; school health promotion policies and practices; child health and care; adolescent health and wellbeing | view journal scope | submit an article
	Prof. Dr. Bernd Rehm, Griffith University, Australia | Editorial | view inaugural issue	DNA and gene synthesis; synthetic transcription factors; protein engineering; viral engineering; metabolic engineering | view journal scope | submit an article
	Prof. Dr. Varsha Gandhi, University of Texas MD Anderson Cancer Center, USA | Editorial | view inaugural issue	lymphatics; cancers associated with lymphocytes and lymphoblasts; lymphatic tissues; lymphoma; lymphoid leukemia | view journal scope | submit an article
	Dr. Bradley Turner, University of Melbourne, Australia | Editorial | view inaugural issue	multiple sclerosis; amyotrophic lateral sclerosis; primary lateral sclerosis; atherosclerosis; systemic sclerosis | view journal scope | submit an article
	Prof. Dr. Clemens Burda, Case Western Reserve University, USA | Editorial | view inaugural issue	Gamma ray, X-ray, and UV–Vis spectroscopies; NIR/mid-infrared/Raman spectroscopy; microwave and THz spectroscopy; high-resolution gas-phase atomic, molecular, and cluster spectroscopy; MS, NMR, and EPR spectroscopy | view journal scope | submit an article

We wish to thank everyone who has supported the development of open access publishing. You are welcome to submit an application to the New Journal Committee (newjournal-committee@mdpi.com) if you would like to create more new journals.

1. “A Review of Deep Learning Algorithms and Their Applications in Healthcare”
by Hussein Abdel-Jaber, Disha Devassy, Azhar Al Salam, Lamya Hidaytallah and Malak EL-Amir
Algorithms 2022, 15(2), 71; https://doi.org/10.3390/a15020071
Available online: https://www.mdpi.com/1999-4893/15/2/71

2. “Convolutional-Neural-Network-Based Handwritten Character Recognition: An Approach with Massive Multisource Data”
by Nazmus Saqib, Khandaker Foysal Haque, Venkata Prasanth Yanambaka and Ahmed Abdelgawad
Algorithms 2022, 15(4), 129; https://doi.org/10.3390/a15040129
Available online: https://www.mdpi.com/1999-4893/15/4/129
 
3. “CNN Based on Transfer Learning Models Using Data Augmentation and Transformation for Detection of Concrete Crack”
by Md. Monirul Islam, Md. Belal Hossain, Md. Nasim Akhtar, Mohammad Ali Moni and Khondokar Fida Hasan
Algorithms 2022, 15(8), 287; https://doi.org/10.3390/a15080287
Available online: https://www.mdpi.com/1999-4893/15/8/287
 
4. “Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications”
by L. G. Divyanth, D. S. Guru, Peeyush Soni, Rajendra Machavaram, Mohammad Nadimi and Jitendra Paliwal
Algorithms 2022, 15(11), 401; https://doi.org/10.3390/a15110401
Available online: https://www.mdpi.com/1999-4893/15/11/401
 
5. “Machine Learning in Cereal Crops Disease Detection: A Review”
by Fraol Gelana Waldamichael, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano and Samuel Rahimeto Kebede
Algorithms 2022, 15(3), 75; https://doi.org/10.3390/a15030075
Available online: https://www.mdpi.com/1999-4893/15/3/75
 
6. “Reducing the False Negative Rate in Deep-Learning-Based Network Intrusion Detection Systems”
by Jovana Mijalkovic and Angelo Spognardi
Algorithms 2022, 15(8), 258; https://doi.org/10.3390/a15080258
Available online: https://www.mdpi.com/1999-4893/15/8/258
 
7. “Lithium-Ion Battery Prognostics through Reinforcement Learning Based on Entropy Measures”
by Alireza Namdari, Maryam Asad Samani, and Tariq S. Durrani
Algorithms 2022, 15(11), 393; https://doi.org/10.3390/a15110393
Available online: https://www.mdpi.com/1999-4893/15/11/393
 
8. “Graph-Based Feature Selection for Reduction of Dimensionality in Next-Generation RNA Sequencing Datasets”
by Consolata Gakii, Paul O. Mireji and Richard Rimiru
Algorithms 2022, 15(1), 21; https://doi.org/10.3390/a15010021
Available online: https://www.mdpi.com/1999-4893/15/1/21
 
9. “Machine-Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications”
by Marco Bindi, Fabio Corti, Igor Aizenberg, Francesco Grasso, Gabriele Maria Lozito, Antonio Luchetta, Maria Cristina Piccirilli and Alberto Reatti
Algorithms 2022, 15(3), 74; https://doi.org/10.3390/a15030074
Available online: https://www.mdpi.com/1999-4893/15/3/74

10. “On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study”
by Alessio Martino, Luca Baldini and Antonello Rizzi
Algorithms 2022, 15(5), 148; https://doi.org/10.3390/a15050148
Available online: https://www.mdpi.com/1999-4893/15/5/148
 
11. “A Federated Generalized Linear Model for Privacy-Preserving Analysis”
by Matteo Cellamare, Anna J. van Gestel, Hasan Alradhi, Frank Martin and Arturo Moncada-Torres
Algorithms 2022, 15(7), 243; https://doi.org/10.3390/a15070243
Available online: https://www.mdpi.com/1999-4893/15/7/243
 
12. “Improved Ship Detection Algorithm from Satellite Images Using YOLOv7 and Graph Neural Network”
by Krishna Patel, Chintan Bhatt and Pier Luigi Mazzeo
Algorithms 2022, 15(12), 473; https://doi.org/10.3390/a15120473 
Available online: https://www.mdpi.com/1999-4893/15/12/473