A New Signal Processing Method for Time-of-Flight and Center Frequency Estimation by Olgirdas Tumšys

“…There are many and various methods used to determine ToF, such as threshold detection, peak-based methods, cross-correlation, zero-crossing tracking algorithms, etc. …”
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A Recursive Inclusion Checker for Recursively Defined Subtypes by Hans De Nivelle

“…Logical formulas are tree-like structures with many constructors having different arities and argument types. …”
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Software Effort Estimation Using Multi Expression Programming by Najla Al-Saati, Taghreed Alreffaee

“…A lot of experts applied different ways to find solutions to this issue, such as the COCOMO and other methods. Recently, many questions have been put forward about the possibility of using Artificial Intelligence to solve such problems, different scientists made ​​several studies about the use of techniques such as Genetic Algorithms and Artificial Neural Networks to solve estimation problems. …”
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Artificial Intelligence Applied on Traffic Planning and Management for Rail Transport: A Review and Perspective by Jiamin Zhang, Jiarui Zhang

“…Artificial intelligence (AI) has received much attention in the domain of railway traffic planning and management (TPM) from academia and industries. While many promising applications have been reported, there remains a lack of detailed review of the many AI models/algorithms and their uses and adaptations in rail TPM. …”
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Poet-Composer Collaborations in Modern Egyptian Song: A Social Network Analysis Approach to Music History by Michael Frishkopf

“…Starting with a large dataset of songs broadcast on Egyptian radio, I extract a network of poet-composer collaborations, and apply SNA algorithms to reveal its social structure. I then interpret that structure in light of wider socio-cultural and historical factors. …”
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Assessing the effectiveness of transfer learning strategies in BLSTM networks for speech denoising by Marvin Coto-Jiménez, Astryd González-Salazar, Michelle Gutiérrez-Muñoz

“…As a result, it also impacts the systems for speech recognition, speaker identification, and sound source localization, among many others. For denoising the speech signals degraded with the many kinds and possibly different levels of noise, several algorithms have been proposed during the past decades, with recent proposals based on deep learning presented as state-of-the-art, in particular those based on Long Short-Term Memory Networks (LSTM and Bidirectional-LSMT). …”
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Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

“…The problem is most acute in low-income nations, where many people still use unimproved water sources such as exposed wells and surface water. …”
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Dynamical Analysis of Posttreatment HIV-1 Infection Model by M. Pradeesh, A. Manivannan, S. Lakshmanan, F. A. Rihan, Prakash Mani

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Labor Protection in the Perspective of Artificial Intelligence: New Challenges for the EU and the ILO by Dmytro Sirokha, Vladyslav Volynets, Ruslan Kovalenko, Oleksandra Pohorielova, Anzhelika Tkachuk

“…However, the current legislation on many labor relations issues is not ready for such innovations and needs to be updated. …”
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ARTIFICIAL INTELLIGENCE AS AN OBJECT OF MANAGEMENT: A BENEFIT FOR CIVILISATION OR A THREAT TO MANKIND? by Iia Chudayeva, Boris Dmitruk

“…Artificial intelligence technologies contribute to solving many problems related to various areas of life, including the economy. …”
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GenAI-Based Jamming and Spoofing Attacks on UAVs by Burcu Sonmez Sarikaya, Serif Bahtiyar

“…Recently, aerial vehicles have been more connected than ever, where there are many types of the vehicles. Uncrewed Aerial Vehicles (UAVs) operate on various environments with different technologies that are subject to many attacks. …”
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An Inclusive review on deep learning techniques and their scope in handwriting recognition by Sukhdeep Singh, Sudhir Rohilla, Anuj Sharma

“… Deep learning expresses a category of machine learning algorithms that have the capability to combine raw inputs into intermediate features layers. …”
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A Hybrid Approach for Target Discrimination in Remote Sensing: Combining YOLO and CNN-Based Classifiers by Jamesson Lira Silva, Fabiano da Cruz Nogueira, Douglas Damião de Carvalho, Elcio Hideiti Shiguemori, Angelo Passaro

“…These CNNs are applied in many conditions and imagery from many types of sensors. …”
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Integrating Textual Queries with AI-Based Object Detection: A Compositional Prompt-Guided Approach by Silvan Ferreira, Allan Martins, Daniel G. Costa, Ivanovitch Silva

“…While object detection and recognition have been extensively adopted by many applications in decision-making, new algorithms and methodologies have emerged to enhance the automatic identification of target objects. …”
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Features of mammalian microRNA promoters emerge from polymerase II chromatin immunoprecipitation data. by David L Corcoran, Kusum V Pandit, Ben Gordon, Arindam Bhattacharjee, Naftali Kaminski, Panayiotis V Benos

“…<h4>Background</h4>MicroRNAs (miRNAs) are short, non-coding RNA regulators of protein coding genes. miRNAs play a very important role in diverse biological processes and various diseases. Many algorithms are able to predict miRNA genes and their targets, but their transcription regulation is still under investigation. …”
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Topology aware multitask cascaded U-Net for cerebrovascular segmentation. by Pierre Rougé, Nicolas Passat, Odyssée Merveille

“…Cerebrovascular segmentation is a crucial preliminary task for many computer-aided diagnosis tools dealing with cerebrovascular pathologies. …”
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A Transformation of the Way of Thinking: Key Principles in Programming Education Inspired by Pascal by Valentina Dagienė, Gintautas Grigas, Tatjana Jevsikova

“…For this purpose, a compiler for a subset of Pascal was developed for students taking their first steps towards programming, or more precisely, algorithmic thinking. Many innovations were developed and brought into practice. …”
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Deep Learning-Based Control of Active Power Filters Using LSTM and GRU Networks for Harmonic and Frequency Estimation by Juan L. Flores-Garrido, Patricio Salmeron, Juan A. Gomez-Galan, Alejandro Perez-Valles

“…The relevance of suppressing electrical disturbances justifies the efforts to apply new control algorithms to the active power filters (APF). Despite the existence of many control techniques, the NN-based proposals generally present significant shortcomings. …”
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A Complete Solution for Ultra-Wideband Based Real-Time Positioning by Vlad Ratiu, Ovidiu Ratiu, Olivier Raphael Smeyers, Vasile Teodor Dadarlat, Stefan Vos, Ana Rednic

“…There are at least as many implementations of real-time positioning as there are applications and challenges. …”
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UnidecNMR: automatic peak detection for NMR spectra in 1-4 dimensions by Charles Buchanan, Gogulan Karunanithy, Olga Tkachenko, Michael Barber, Michael T. Marty, Timothy J. Nott, Christina Redfield, Andrew J. Baldwin

“…While many algorithms are available to tackle this problem, their performance tends to be inferior to that of an experienced user. …”
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