Testimonials

Many modern applied problems are reduced to solving huge systems of linear equations that can only be solved using supercomputers. The rounding errors accumulating in the process of calculations can significantly worsen the approximate solution. An efficient parallel algorithm that can solve this problem is proposed.

Article in Algorithms: Parallel Algorithm for Solving Overdetermined Systems of Linear Equations, Taking into Account Round-Off Errors

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I would like to share my positive impressions of the overall procedure for publishing our article titled "Rapid Prototyping of H∞ Algorithm for Real-Time Displacement Volume Control of Axial Piston Pumps" in the Algorithms MDPI journal. The article was published at the invitation of a member of the Editorial Board to participate in a Special Issue of the journal entitled "Feature Papers in Algorithms". The manuscript was added before the deadline to the publisher's online system, where it was quickly and professionally assigned to a board member. The review was carried out over a period of approximately two months by three reviewers. The review process and subsequent editing of the manuscript took place in two rounds. The reviewers' critical comments contributed to a significant improvement in the quality of our publication as a whole. The article was published on the day of its final approval. I recommend publication through an independent peer review process in this journal.

Article in Algorithms: Rapid Prototyping of H∞ Algorithm for Real-Time Displacement Volume Control of Axial Piston Pumps

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The manuscript submission system of Algorithms is user-friendly. The template provided is simple to understand. The editors are very considerate and handle the manuscript quickly. The reviewers' opinions are very professional, which greatly helps me to improve my paper. It took only one day from the paper being accepted to online publication. I thank the Algorithms journal for providing me with a wonderful experience of paper submission.

Article in Algorithms: On-Board Decentralized Observation Planning for LEO Satellite Constellations

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Our paper was recently published in the MDPI Algorithms Journal, and the entire publication process was very pleasant. We appreciate all of the staff involved in the process, including the MDPI editorial team, for their assistance. We were able to improve the quality of the manuscript thanks to the quick peer review, insightful comments from professional reviewers, and incredibly responsive feedback from MDPI. We were very pleased with the entire procedure, and we look forward to working with MDPI again soon to publish more articles.

Article in Algorithms: Process Mining IPTV Customer Eye Gaze Movement Using Discrete-Time Markov Chains

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In the process of revising the paper, we appreciate you repeatedly extending the deadline so that we have enough time to revise the paper. We also appreciate the final proofreading of the paper. On behalf of my co-authors, we would like to express our great appreciation for the editor and reviewers.

Article in Algorithms: A Proposal of Printed Table Digitization Algorithm with Image Processing

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Publishing with Algorithms was a very smooth process, from the first draft to the final published manuscript. My interactions with the staff have all been positive and I have received welcomed constructive criticism from my peers. The formatting rules and guidance given in the templates were easy to implement and did not disrupt the flow of writing. I would definitely recommend this service.

Article in Algorithms: Fast and Interactive Positioning of Proteins within Membranes

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MDPI is a very fair and professional editor. The constructive feedback of the reviewers enabled us to improve the quality and readability of the text. The whole editing process was a very swift and enjoyable experience that helped us get every detail right.

Article in Algorithms: k-Pareto Optimality-Based Sorting with Maximization of Choice and Its Application to Genetic Optimization

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We are so grateful to have been published in a Special Issue of the Algorithms journal and are extremely impressed with the whole submission process. The editorial team was prompt and communicative and the reviewers' comments were very constructive and helpful. The submission and editing process was very clear and we really appreciate the efforts of the editors and editorial staff. We will definitely consider MDPI for future publications.

Article in Algorithms: Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines

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I have already published three articles in MDPI journals (as a co-author in Applied Sciences and Sensors and as an author in Algorithms), and I have always been very pleasantly surprised by the highly informed reviews with many inspiring comments, which helped to improve the quality of the articles significantly, e.g., in the last article, "The Assignment Problem and Its Relation to Logistics Problems in Algorithms", the text was extended from the original 19 pages to 27 pages, taking into account many other aspects. The work of the editors is also excellent, as they are very quick and efficient in helping the authors and, in addition, in the promotion of the paper after publication.

Article in Algorithms: The Assignment Problem and Its Relation to Logistics Problems

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MDPI is an excellent open access venue with which to find and publish novel research. Their highly professional staff provided very responsive, effective, and useful support, helping us to maximize the impact of our research.

Article in Algorithms: Adaptive IDS for Cooperative Intelligent Transportation Systems Using Deep Belief Networks

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We have just published a paper in the “Special Issue Algorithms for Machine Learning and Pattern Recognition Tasks”. The overall process involving the publishing took place in an extremely serious and efficient manner. Not only did the reviewers make relevant and constructive observations and suggestions, but the editorial staff was also very professional and helpful. It was a pleasant experience.

Article in Algorithms: Automatic Classification of Foot Thermograms Using Machine Learning Techniques

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Publishing with MDPI has been a positive experience. The article submission and review process of MDPI were straightforward and hassle-free. The reviews that we received were very timely and clearly written by researchers knowledgeable in the specific area of our research. Their comments were insightful and definitely helped us to improve the quality of our article.

Article in Algorithms: LTU Attacker for Membership Inference

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We thank the international journal Algorithms of MDPI (invited editors, reviewers, communication and technical support group) for prompt, friendly and professional work with the authors. We gained additional experience and during this time not only worked out our results better, but also generated new ideas for further research due to the high quality of review process and recommendations of reviewers. We will spread this experience of working with the journal among our colleagues, PhD and MSc students.

Article in Algorithms: IoT Multi-Vector Cyberattack Detection Based on Machine Learning Algorithms: Traffic Features Analysis, Experiments, and Efficiency

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