Announcements

MDPI will be attending the 2023 IEEE International Symposium on Information Theory (ISIT 2023) in Taipei, Taiwan, which will take place from 25 to 30 June 2023.

ISIT is the premier international conference series dedicated to the advancement of information theory and related areas. It brings together an international community of researchers and practitioners each year to present and discuss new research results and perspectives on future developments relevant to all areas of information theory, including big data analytics, source and channel coding, communication theory and systems, cryptography and security, detection and estimation, emerging applications, networks, network coding, signal processing, and statistical/machine learning.

The following MDPI journals will be represented:

• Entropy;
• Mathematics;
• Information;
• Axioms;
• Algorithms;
• Symmetry;
• Data;
• JCP;
• Cryptography.

If you are attending this conference, please feel free to stop by our booth. Our delegates look forward to meeting you in person to answer any questions you may have. For more information about the conference, please visit the following link: https://isit2023.org/.

We are pleased to announce the winners of the Algorithms 2023 Best Paper Award, which is sponsored by MDPI and Algorithms (ISSN: 1999-4893). Following review by the Evaluation Committee, the best paper was selected. The recipients are as follows:

Ms. Jovana Mijalković Department of Computer Science, Sapienza University, 00198 Rome, Italy
Prof. Angelo Spognardi Department of Computer Science, Sapienza University, 00198 Rome, Italy

They will receive CHF 500, a certificate, and the chance to publish one free paper in Algorithms.

The award has been granted for the following paper:

“Reducing the False Negative Rate in Deep Learning Based Network Intrusion Detection Systems”
by Jovana Mijalković and Angelo Spognardi
Algorithms 2022, 15(8), 258; https://doi.org/10.3390/a15080258

Please join us in congratulating the winners of the Algorithms 2023 Best Paper Award. We would also like to thank all our authors for their continued support of Algorithms.

For more information about the Algorithms awards, please access the following link: https://www.mdpi.com/journal/algorithms/awards.

As a leading open access publisher, MDPI provides scholars with a high-quality and rich academic exchange platform by continuously expanding into new and exciting research areas.

In December 2022, MDPI launched five new journals, covering multiple subjects such as life sciences, biology, medicine and pharmacology, social sciences and humanities. These new journals are being edited by established scholars across the world.

If you are interested in creating more open access journals with us to publish cutting-edge research, please send your journal proposal application to newjournal-committee@mdpi.com.

MDPI is pleased to announce that we now display the co-authors’ email addresses in addition to the corresponding author’s email address on the webpage of published papers, protected by Captcha. For more information about this change, please visit the journal’s instructions for authors page. 

We believe this change will facilitate academic discussions and advance our cause of open science and research. The corresponding authors are responsible for communicating with their co-authors and indicating in our system (https://susy.mdpi.com/) if co-authors would prefer for their email addresses not to be displayed.

On 9 February 2023, Clarivate, a global leader in providing trusted insights and analytics, added the Preprint Citation Index to the Web of Science platform, streamlining the research process by allowing researchers to locate and link to preprints alongside other trusted content in the database.

The Preprint Citation Index will act as a bridge to connect cutting-edge preprints with peer-reviewed journal articles published within the Web of Science Core Collection. Alerts can be easily set to monitor new research across several repositories and authors will also be able to include preprints on their Web of Science Research Profile to more accurately display their various research outputs.

As of its launch, the Preprint Citation Index will provide nearly two million preprints from various repositories, including MDPI’s own Preprints.org.

MDPI's Preprints Platform – Preprints.org

To advance Open Science and the fast dissemination of research, MDPI offers researchers a free multidisciplinary preprint platform. Preprints.org accepts submissions from all research areas and offers authors high visibility, permanent archiving, article-level Metrics and immediately citable content by assigning a Digital Object Identifier (DOI) to all preprints.

During submission to any MDPI journal, authors have the option to share their research as a preprint. After an initial screening, the manuscript is available online in 48 hours or less. Once online, preprints can be downloaded, shared, commented on, and cited, providing authors maximum visibility.

We invite you to join the ranks of the over 100k researchers using Preprints.org and share your research.

For more information, please visit Preprints.org.

“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

“Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning” 
by Yuqing Hu, Stéphane Pateux and Vincent Gripon
Algorithms 2022, 15(5), 147; https://doi.org/10.3390/a15050147
Available online: https://www.mdpi.com/1999-4893/15/5/147

“A Review on the Performance of Linear and Mixed Integer Two-Stage Stochastic Programming Software”
by Juan J. Torres, Can Li, Robert M. Apap and Ignacio E. Grossmann
Algorithms 2022, 15(4), 103; https://doi.org/10.3390/a15040103
Available online: https://www.mdpi.com/1999-4893/15/4/103

“A Variable Step Size Normalized Least-Mean-Square Algorithm Based on Data Reuse”
by Alexandru-George Rusu, Constantin Paleologu, Jacob Benesty and Silviu Ciochină
Algorithms 2022, 15(4), 111; https://doi.org/10.3390/a15040111
Available online: https://www.mdpi.com/1999-4893/15/4/111

“Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation” 
by Misgana Negassi, Diane Wagner and Alexander Reiterer
Algorithms 2022, 15(5), 165; https://doi.org/10.3390/a15050165
Available online: https://www.mdpi.com/1999-4893/15/5/165

“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

“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

“Using Explainable Machine Learning to Explore the Impact of Synoptic Reporting on Prostate Cancer” 
by Femke M. Janssen, Katja K. H. Aben, Berdine L. Heesterman, Quirinus J. M. Voorham, Paul A. Seegers and Arturo Moncada-Torres
Algorithms 2022, 15(2), 49; https://doi.org/10.3390/a15020049
Available online: https://www.mdpi.com/1999-4893/15/2/49

“Applying Simheuristics to Minimize Overall Costs of an MRP Planned Production System” 
by Wolfgang Seiringer, Juliana Castaneda, Klaus Altendorfer, Javier Panadero and Angel A. Juan
Algorithms 2022, 15(2), 40; https://doi.org/10.3390/a15020040
Available online: https://www.mdpi.com/1999-4893/15/2/40

“A Reward Population-Based Differential Genetic Harmony Search Algorithm” 
by Yang Zhang, Jiacheng Li and Lei Li
Algorithms 2022, 15(1), 23; https://doi.org/10.3390/a15010023
Available online: https://www.mdpi.com/1999-4893/15/1/23

“Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction” 
by Leonardo Lucio Custode, Hyunho Mo, Andrea Ferigo and Giovanni Iacca
Algorithms 2022, 15(3), 23; https://doi.org/10.3390/a15030098
Available online: https://www.mdpi.com/1999-4893/15/3/98

“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), 23; https://doi.org/10.3390/a15060198
Available online: https://www.mdpi.com/1999-4893/15/6/198

“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

“A Review on the Performance of Linear and Mixed Integer Two-Stage Stochastic Programming Software”
by Juan J. Torres, Can Li, Robert M. Apap and Ignacio E. Grossmann
Algorithms 2022, 15(4), 103; https://doi.org/10.3390/a15040103
Available online: https://www.mdpi.com/1999-4893/15/4/103

“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

“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), 165; https://doi.org/10.3390/a15060193
Available online: https://www.mdpi.com/1999-4893/15/6/193

“Enhanced Maximum Power Point Techniques for Solar Photovoltaic System under Uniform Insolation and Partial Shading Conditions: A Review” 
by Laxman Bhukya, Narender Reddy Kedika and Surender Reddy Salkuti
Algorithms 2022, 15(10), 365; https://doi.org/10.3390/a15100365
Available online: https://www.mdpi.com/1999-4893/15/10/365

“A Review of Modern Audio Deepfake Detection Methods: Challenges and Future Directions” 
by Zaynab Almutairi and Hebah Elgibreen
Algorithms 2022, 15(5), 155; https://doi.org/10.3390/a15050155
Available online: https://www.mdpi.com/1999-4893/15/5/155

“A Review: Machine Learning for Combinatorial Optimization Problems in Energy Areas” 
by Xinyi Yang, Ziyi Wang, Hengxi Zhang, Nan Ma, Ning Yang, Hualin Liu, Haifeng Zhang and Lei Yang
Algorithms 2022, 15(6), 205; https://doi.org/10.3390/a15060205
Available online: https://www.mdpi.com/1999-4893/15/6/205

“A Review of an Artificial Intelligence Framework for Identifying the Most Effective Palm Oil Prediction” 
by Fatini Nadhirah Mohd Nain, Nurul Hashimah Ahamed Hassain Malim, Rosni Abdullah, Muhamad Farid Abdul Rahim, Mohd Azinuddin Ahmad Mokhtar and Nurul Syafika Mohamad Fauzi
Algorithms 2022, 15(6), 218; https://doi.org/10.3390/a15060218
Available online: https://www.mdpi.com/1999-4893/15/6/218

“A Synergic Approach of Deep Learning towards Digital Additive Manufacturing: A Review” 
by Ayush Pratap, Neha Sardana, Sapdo Utomo, John Ayeelyan, P. Karthikeyan and Pao-Ann Hsiung
Algorithms 2022, 15(12), 466; https://doi.org/10.3390/a15120466
Available online: https://www.mdpi.com/1999-4893/15/12/466

“Adversarial Training Methods for Deep Learning: A Systematic Review” 
by Weimin Zhao, Sanaa Alwidian and Qusay H. Mahmoud
Algorithms 2022, 15(8), 283; https://doi.org/10.3390/a15080283
Available online: https://www.mdpi.com/1999-4893/15/8/283

“A Review on Data-Driven Condition Monitoring of Industrial Equipment” 
by Ruosen Qi, Jie Zhang and Katy Spencer
Algorithms 2022, 16(1), 9; https://doi.org/10.3390/a16010009
Available online: https://www.mdpi.com/1999-4893/16/1/9

“Machine Learning Approaches for Skin Cancer Classification from Dermoscopic Images: A Systematic Review” 
by Flavia Grignaffini, Francesco Barbuto, Lorenzo Piazzo, Maurizio Troiano, Patrizio Simeoni, Fabio Mangini, Giovanni Pellacani, Carmen Cantisani and Fabrizio Frezza
Algorithms 2022, 15(11), 438; https://doi.org/10.3390/a15110438
Available online: https://www.mdpi.com/1999-4893/15/11/438

We are pleased to announce the launch of a new initiative—the MDPI Special Issue Mentor Program.

This program will enable early career researchers (who must hold a Ph.D. in a related field) to experience editing a Special Issue in MDPI journals, under the mentorship of our experienced Editorial Board Members or other experienced scientists. The mentor program will provide an excellent opportunity for early career scientists to gain editorial experience, and to cultivate their ability to edit scientific research.

The mentee’s responsibilities include:

• Proposing a Special Issue title and assisting the mentor in preparing a summary (around 200–400 words) and 3–10 keywords describing the background, importance, and goal of the Issue;
• Writing a brief promotion plan for the Special Issue;
• Preparing a list of scholars who may be interested in the Issue and personally e-mailing invitations on behalf of Guest Editors;
• Writing an editorial for the online Special Issue together with the mentor.

The mentor’s responsibilities include:

• Conducting a final check before the Special Issue is published online;
• Performing editorial control of the Special Issue and quality control of the publications, both of which must be carried out in a timely manner;
• Providing suggestions to younger scholars if they have any doubts or concerns regarding submissions;
• Organizing video calls with young scholars and the Editorial Office regularly to discuss problems and improvement suggestions for the Special Issue;
• Making and submitting decisions regarding submissions with the assistance of mentees.

Certificates and awards:
After the Special Issue closes, the Editorial Office will provide official certificates for all the mentors and early career researchers.

If you are interested in this opportunity, please send your Special Issue proposal to the Editorial Office of a journal you choose, and we will discuss the process (i.e., mentor collaboration, Special Issue topic feasibility analysis, etc.) in further detail. The full list of MDPI journals is as follows: https://www.mdpi.com/about/journals.

In addition to the new Special Issue Mentor Program, we will continue to welcome all Special Issue proposals focusing on hot research topics.

The scientists who were selected into this year’s list of Highly Cited Researchers have published highly cited papers in the 11-year period from January 2011 to December 2021, with citation frequency in the top 1% of academic subjects and the same year of publication in the Web of Science^TM database. Based on Web of Science Citation data, 6,938 researchers from across the globe who have demonstrated a disproportionate level of significant and broad influence in their chosen field or fields over the last decade have been awarded Highly Cited Researcher 2022 designations. The list is truly global, spanning 69 countries or regions and spread across a diverse range of research sciences and social sciences.

According to statistics, 4 members of the Editorial Board of Algorithms (ISSN: 1999-4893) have been selected into the list of Highly Cited Researchers of Clarivate in 2022. They are being recognized for their high-quality scientific research achievements and outstanding contributions to professional fields. The Algorithms journal office sincerely congratulates all elected Editorial Board Members and hopes that they continue to have an academically productive relationship with the journal.

MDPI has just become the first open access (OA) publisher to reach the milestone of one million articles published. That is one million articles freely available to all, to circulate and build upon! We are proud to share this special moment with the global scientific community.

This landmark has been reached thanks to the immeasurable support of more than 600,000 expert reviewers, 66,000 editorial board members and 6700 hard-working colleagues across MDPI’s global offices.

Within more than 25 years of publishing, our journals received 2.1 million manuscripts and generated 4.6 million peer review reports to get to one million papers published.

Reaching the milestone of one million articles published reinforces our mission to remove any existing barriers and to make scientific research accessible to all. Since its inception, MDPI’s goal has been to create reliable processes to make science open. This is a path towards facilitating the dissemination of novel insights in scientific communities.

Regular feedback from authors and reviewers shows that our service is greatly appreciated and needed. At the same time, the feedback helps us identify areas for further improvement.

As it stands, a significant share of published research findings remain closed access. More than half of the content published with the most well-known legacy publishers stays behind a paywall, and that is not including articles published in hybrid OA journals, or made available months or years after publication.

A new policy announced by the US administration in August 2022 requires that, as of January 2026, all US federally funded research be made freely and immediately available after publication. While the new policy does not mandate articles be published under an open access license, it is aligned with the open access movement in removing all barriers to research. Similarly, some of the most advanced research institutions in the world intend to have all funded research articles published in open access by 2025.

MDPI is proud to be the leading agent of the transition to open access.

"Thanks a Million" to all the contributors!