A Hardware Accelerator for Real-Time Processing Platforms Used in Synthetic Aperture Radar Target Detection Tasks by Yue Zhang, Yunshan Tang, Yue Cao, Zhongjun Yu

“…The deep learning object detection algorithm has been widely applied in the field of synthetic aperture radar (SAR). …”
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Research on Construction and Updating of Global Grid Maps in Mining Truck Autonomous Driving Scenarios by DENG Chao, LONG Teng, YUAN Xiwen, LI Cheng

“…The closest point to the origin in each sector is extracted to define the boundary for a drivable area, while points on a circle with a 30-meter radius serve as the boundary for a scanning area, leading to the construction of partially enclosed drivable and scanning areas using the Bresenham's algorithm. Additionally, a breadth-first search (BFS) algorithm is introduced to search for all nodes within these areas. …”
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Efficient Equivalence Checking Technique for Some Classes of Finite-State Machines by Vladimir A. Zakharov

“…Using the algebraic approach a new algorithm for checking the equivalence of states of deterministic finite automata is constructed; time complexity of this algorithm is O(n log n).2.            …”
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Artificial intelligence, generative artificial intelligence and research integrity: a hybrid systemic review by Khalid H. Arar, Hamit Özen, Gülşah Polat, Selahattin Turan

“…The study also identifies risks such as biased algorithms, plagiarism risk, false information production, and potential damage to academic integrity. …”
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Analysis for models of interaction between road passenger transport operators by I. I. Lyubimov, N. N. Yakunin, N. V. Yakunina

“…The prerequisites for the creation of algorithms for the transition from one model to another and for evaluating their effectiveness are determined.Results. …”
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PROSES BERPIKIR KOMPUTASIONAL SISWA BERDASARKAN PRIOR KNOWLEDGE by Gunawan Gunawan, Joko Purwanto, Fitrianto Eko Subekti

“…The computational thinking process involves abstraction, design, decomposition, algorithms, and verification. Research was conducted to describe students' computational thinking processes in solving contextual problems based on previous knowledge. …”
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Identification of Scientific Texts Generated by Large Language Models Using Machine Learning by David Soto-Osorio, Grigori Sidorov, Liliana Chanona-Hernández, Blanca Cecilia López-Ramírez

“…To do so, we will use natural language processing (NLP) and machine-learning algorithms to recognize texts that mask LLM misuse using different types of adversarial attack, like paraphrasing or translation from one language to another. …”
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Implementation of SOLO taxonomy and Newman error analysis in first-order differential equation by Yarman Yarman, Dewi Murni, Fridgo Tasman

“…Some of the causes of these errors include students' low ability to read mathematical symbols, students' inaccuracy, not being able to use algorithms correctly, not mastering the concepts of algebra, differential, and integral, as well as not understanding in determining the systematic solution of the problem and not being accustomed to writing the final answer. …”
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The anthropomorphic pursuit of AI-generated journalistic texts: limits to expressing subjectivity by Cristian González-Arias, Cristian González-Arias, Eirini Chatzikoumi, Xosé López-García

“…Many newsrooms around the world are increasingly turning to artificial intelligence (AI) algorithms to generate journalistic content. Often, these machine-generated texts are distributed without being clearly identified as synthetic or hybrid. …”
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CONCERNING CORRELATION BETWEEN METHODOLOGY AND TECHNOLOGY IN PEDAGOGICAL RESEARCH by Vladimir I. Zagvyazinsky

“…The author doesn’t take into consideration the rigid technology of algorithmic type which is hardly useful in works of creative character; but in the present case – frame technology that defines the expedient organisation, sequence of stages of work and its corresponding maintenance. …”
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Decoding Subjective Understanding: Using Biometric Signals to Classify Phases of Understanding by Milan Lazic, Earl Woodruff, Jenny Jun

“…AU patterns associated with each phase were then identified through the application of six supervised machine learning algorithms. Distinct AU patterns were found for all five phases, with gradient boosting machine and random forest models achieving the highest predictive accuracy. …”
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Artificial intelligence (machine learning) in the psychology of learning: Unveiling new insights and directions by Nora Darjazini, Mohammad Hossein Zarghami, Reza Ghorban Jahromi, Leila Shobeiry

“…Results: 260 features were extracted from the computer texts prepared from the speech and writing learners responses by natural language processing (NLP) algorithms. …”
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Pilot implementation of speech recognition technology in the endoscopic centers of Moscow Healthcare Department by A. V. Shabunin, V. V. Bedin, I. Yu. Korzheva, S. Yu. Orlov, E. K. Osmak, I. V. Vasiliev, D. V. Nesterov, A. A. Alepko

“…The study demonstrated that the protocols of endoscopic examinations developed as the result of the project allow endoscopists to reduce the time for writing medical reports as well as the overall time of procedure.…”
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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

“…Deep learning and transfer learning algorithms are good techniques to detect disease from different image source types such as X-Ray and CT scan images. …”
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Artificial intelligence may affect diversity: architecture and cultural context reflected through ChatGPT, Midjourney, and Google Maps by Ingrid Campo-Ruiz

“…The providers of AI systems should ensure more inclusivity in AI training data, facilitate users’ writing of prompts and disclose the limitations of their data sources. …”
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Cross-Language Transfer-Learning Approach via a Pretrained Preact ResNet-18 Architecture for Improving Kanji Recognition Accuracy and Enhancing a Number of Recognizable Kanji by Vasyl Rusyn, Andrii Boichuk, Lesia Mochurad

“…Many people admire the Japanese language and culture, but mastering the language’s writing system, particularly handwritten kanji, presents a significant challenge. …”
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A versatile framework for attitude tuning of beamlines at light source facilities by Peng-Cheng Li, Xiao-Xue Bi, Zhen Zhang, Xiao-Bao Deng, Chun Li, Li-Wen Wang, Gong-Fa Liu, Yi Zhang, Ai-Yu Zhou, Yu Liu

“…With the goal of saving time and human effort in both writing and using such code, a Mamba-based attitude-tuning framework is created. …”
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Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach by Madiha Khalid, Muhammad Faheem Mushtaq, Urooj Akram, Mejdl Safran, Sultan Alfarhood, Imran Ashraf

“…AI-generated synthetic text, known as deepfake text, is used to imitate human writing to disseminate misleading information and fake news. …”
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Detection of Psychomotor Retardation in Youth Depression: A Machine Learning Approach to Kinematic Analysis of Handwriting by Vladimir Džepina, Nikola Ivančević, Sunčica Rosić, Blažo Nikolić, Dejan Stevanović, Jasna Jančić, Milica M. Janković

“…After recursive feature elimination, classification was achieved through machine learning algorithms: logistic regression, support vector machine, and random forest. …”
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Architected Design and Fabrication of Soft Mechanical Metamaterials by Thileepan Stalin, Aby Raj Plamootil Mathai, Naresh Kumar Thanigaivel, Elgar Kanhere, Saikrishna Dontu, Gumawang Hiramandala, Aaron Chooi, Arturo Castillo Ugalde, Pablo Valdivia Y Alvarado

“…Planar printing tool paths, utilized in layer‐by‐layer printing such as fused deposition modeling (FDM) and prevalently used in most slicing algorithms, severely limit the realization of complex topologies required in metamaterials. …”
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