Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review by G. H. Mohmad Dar, Radhakrishnan Delhibabu

“…The review highlights the need for future work to address real-time processing, context-sensitive emotion detection, and the integration of multi-modal data to enhance the performance of SER systems. …”
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A hybrid attack detection strategy for cybersecurity using moth elephant herding optimisation‐based stacked autoencoder by Abdullah Shawan Alotaibi

“…The pre‐processed data is further subjected to the feature selection stage, where the Class‐Wise Information Gain technique (CIG) is used to select the essential features. …”
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Corruption in Serbia: Unique or a shared Balkan disease? by van Duyne Petrus C., Stocco Elena, Milenović Miroslava

“…The break up of Yugoslavia resulted in successor states in which corruption spread like wildfire, except Slovenia. Therefore, research of corruption in one country of the Western Balkan should be projected against neighbours. …”
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Overview and Prospects of Visibility Analysis Approaches by Jianghong Zhao, Ailin Xu, Xueqing Zhang, Yunhui Zhang, Yihong Zhang, Mengtian Cao, Ming Huang

“…Chronologically, this paper reviews various algorithms, comparing their advantages and limitations in terms of processing speed, accuracy, and applicability. It highlights current challenges, such as dynamic scene analysis and high-resolution data processing, and proposes optimization strategies like employing data dimensionality reduction, integrating eye-tracking data, and using deep learning to enhance robustness. …”
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Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records by Azza Mohamed, Reem AlAleeli, Khaled Shaalan

“…Our findings show that transformer models, especially in applications like named entity recognition (NER) and clinical data analysis, greatly increase the accuracy and efficiency of processing unstructured data. …”
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OPTIMIZING LONG TEXT CLASSIFICATION PERFORMANCE THROUGH KEYWORD-BASED SENTENCE SELECTION: A CASE STUDY ON ONLINE NEWS CLASSIFICATION FOR INDONESIAN GDP GROWTH-RATE DETECTION by Dinda Pusparahmi Sholawatunnisa, Lya Hulliyyatus Suadaa

“…This study delves into innovative approaches to streamline the Gross Domestic Product (GDP) computation process by harnessing modern data analytics, Natural Language Processing (NLP), and online news sources. …”
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Sustainable Selection of Machine Learning Algorithm for Gender-Bias Attenuated Prediction by Raik Orbay, Evelina Wikner

“…There is a substantial amount of data on ML gender-bias in the literature. In these, the majority of the investigated cases are for ML branches like image or sound processing and text recognition. …”
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Asymptotic Analysis of Shearlet Transfom for Inpainting by Süleyman Çetinkaya, Cüneyt Yazıcı, Hülya Kodal Sevindir

“…Supply of missing data, also known as inpainting, is an important application of image processing.Wavelets are commonly used for inpainting algorithms. …”
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Detection of inhibitor residues in milk by Blyumskaya S.N., Naumov M.M.

“…The presence of ISRs in milk has a significant impact on both consumer health and the efficiency of the dairy industry, as antibiotics can interfere with milk processing technologies. The study utilized various techniques to analyze milk samples collected from dairy farms in the Kursk region, including selective rapid tests such as Twinsensor BT and SNAP b-lactam, broad-spectrum tests like Delvotest T and Eclipse, as well as enzyme-linked immunosorbent assay (ELISA). …”
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Enhanced mixup for improved time series analysis by Khoa Tho Anh Nguyen, Khoa Nguyen, Taehong Kim, Ngoc Hong Tran, Vinh Dinh

“…While deep learning has advanced in this field, it still faces challenges, such as limited or poor-quality data. In areas like computer vision, data augmentation has been widely used and highly effective in addressing similar issues. …”
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Implementation for Lightweight Deep Learning for Anomaly Detection and Denoising on Gravitational Waves by R. K. Mohith Niranjen, C. Yogesh, Anirudh Vinodh, Tharun Sureshkumar, S. Vatchala

“…As gravitational wave astronomy has advanced, the need for effective and quick signal processing has never been more critical. New detectors such as Laser Interferometer Gravitational-Wave Observatory (LIGO) produces huge volumes of data, which poses a significant challenge to identify genuine astrophysical events amidst transient noise. …”
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Application of Deep Dictionary Learning and Predefined Filters for Classification of Retinal Optical Coherence Tomography Images by Fariba Shaker, Zahra Baharlouei, Gerlind Plonka, Hossein Rabbani

“…WST is a convolutional network with predefined wavelet filters that do not need to be learned, requiring lower processing time and complexity. Both methods can be directly applied to raw image data without time-consuming pre-processing, as the first layers act like denoising filters to achieve sparse significant image structures. …”
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Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach by Mohammad Heydari, Babak Teimourpour

“…The inherent structure of Instagram, characterized by its text-rich content and graph-like data representation, enables the utilization of text and graph processing techniques for data analysis purposes. …”
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Scaled Fenwick Trees by Matthew Cushman

“…It enables an efficient on-chain encoding and processing of an order book-like data structure used to manage lending, interest, and collateral.…”
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A simple preprocessing approach for improving semantic segmentation in unsupervised domain adaptation by Shahaf Ettedgui, Shady Abu-Hussein, Raja Giryes

“…Abstract Unsupervised Domain Adaptation (UDA) is a powerful strategy for bridging the gap between synthetic (source) data and real-world (target) data, thereby reducing expensive manual annotations. …”
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AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions by Zohra Dakhia, Mariateresa Russo, Massimo Merenda

“…To address these, this paper explores solutions like federated learning for secure on-device data processing and blockchain for transparent traceability. …”
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Intelligent System to Transformer Slang Words into Formal Words by Ahmed Abdulstar Ibrahim, Ban Shareef Mustafa

“…These words are specific to certain communities, hindering comprehension for those outside. Natural language processing tasks, like translation and summarization, struggle with informal vocabulary and local dialects. …”
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The Impact of Training Strategies on Overfitting in Vowel Classification Using PS-HFCC Parametrization for Automatic Speech Recognition by Stanislaw GMYREK, Urszula LIBAL, Robert HOSSA

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An Axial-Oriented Dual-Layer Indexing Structure for Tunnel Point Clouds by Hongyang Zhang, Qigui Yang, Quan Liu, Yinlong Jin, Gang Ma, Xin Meng

“…A fundamental challenge in tunnel point cloud processing is to efficiently manage massive datasets using appropriate data structures and accurately extract features such as tunnel axes and cross-sections. …”
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Sequence-Information Recognition Method Based on Integrated mDTW by Boliang Sun, Chao Chen

“…In the fields of machine learning and artificial intelligence, the processing of time-series data has been a continuous concern and a significant algorithm for intelligent applications. …”
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