Analisis Perbandingan Teknik Word2vec dan Doc2vec dalam Mengukur Kemiripan Dokumen Menggunakan Cosine Similarity by Dede Iskandar, Ana Kurniawati

“…The research methodology includes data collection, text mining, text pre-processing, Word2vec and Doc2vec techniques implementations, and Cosine Similarity measurement. …”
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Rock fracture type recognition based on deep feature learning of microseismic signals by LI Dianze, XU Huajie, ZHANG Bo

“…These signals were then processed to construct a microseismic signal aggregation (MSA) spectrogram, which integrated time-frequency spectrograms, log-Mel spectrograms, and Mel-frequency cepstral coefficients. …”
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Enhanced Hybrid Deep Learning Model With Improved Self-Attention Mechanism for Legal Judgment Prediction by G. Sukanya, J. Priyadarshini

“…The dawn of Natural Language Processing in the legal research field has achieved great heights. …”
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EEG analysis of trial subjects with discirculatory encephalopathy by multidimensional scaling method of cognitive tests and leads by Anna I. Novikova, Kaleria A. Moroz, Elena A. Kizhevatova

“…The research subject is graphs of the vectors arrangement dynamics in the two-dimensional attribute space of EEG-data of healthy and patient subjects corresponding to each of the leads and cognitive tests. …”
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Transformer-Based Multi-Target Object Detection and Tracking Framework for Robust Spatio-Temporal Memory in Dynamic Environments by Tareq Mahmod AlZubi, Umar Raza Mukhtar

“…The Target Proposal Module generates object candidates using a transformer encoder-decoder structure, and the memory decoder integrates both proposal and track vectors to predict object locations and identities in real-time, minimizing post-processing. …”
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EXPLORING A NOVEL HEXACO PERSONALITY TRAITS ON TWITTER: AN ENSEMBLE-BASED NLP METHODOLOGY by Tanvi Desai, Divyakant Meva

“…Natural Language Processing (NLP) plays a crucial role in analyzing Twitter data to introduce an automated HEXACO model. …”
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Retracted: Target Recognition Method of Rehabilitation Robot Based on Image Local Features by Xing Li, Tianbao Wu

“…Firstly, after collecting or processing the initially prepared images, feature extraction is performed, and the feature vectors extracted from the features are classified and recognized and then transferred to the recognition model of the rehabilitation robot. …”
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Representation Learning for Place Recognition Using MIMO Radar by Prashant Kumar Rai, Nataliya Strokina, Reza Ghabcheloo

“…The architecture consists of two identical U-Net encoders that extract features from the pair of radar scans, which are then processed by a transformer encoder to estimate ego-motion. …”
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Development of a New Trapping System with Potential Implementation as a Tool for Mosquito-Borne Arbovirus Surveillance by Luísa Maria Inácio da Silva, Larissa Krokovsky, Rafaela Cassiano Matos, Gabriel da Luz Wallau, Marcelo Henrique Santos Paiva

“…Standard virus detection in mosquitoes requires capturing, transporting, and processing samples with a cold chain to preserve RNA, which is challenging in resource-limited areas. …”
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Adaptive pixel attention network for hyperspectral image classification by Yuefeng Zhao, Chengmin Zai, Nannan Hu, Lu Shi, Xue Zhou, Jingqi Sun

“…Abstract Patch features obtained by fixed convolution kernel have become the main form in hyperspectral image (HSI) classification processing. However, the fixed convolution kernel limits the weight learning of channels, which results in the potential connections between pixels not being captured in patches, and seriously affects the classification performance. …”
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Optimizing Lattice Basis Reduction Algorithm on ARM V8 Processors by Ronghui Cao, Julong Wang, Liming Zheng, Jincheng Zhou, Haodong Wang, Tiaojie Xiao, Chunye Gong

“…This will reduce cache misses and accelerate data processing. To further enhance performance, loop unrolling was applied to the core loop, which allows more operations per loop iteration. …”
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Analysis of Autonomous Penetration Testing Through Reinforcement Learning and Recommender Systems by Ariadna Claudia Moreno, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

“…This study considers these challenges, proposing a recommendation system based on a context-rich, vocabulary-aware transformer capable of processing questions related to the target environment and offering responses based on necessary pentest batteries evaluated by a Reinforcement Learning (RL) estimator. …”
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AAV-mediated transduction of songbird retina by Pranav Kumar Seth, Pranav Kumar Seth, Dominik Heyers, Dominik Heyers, Baladev Satish, Ezequiel Mendoza, Katrin Haase, Lisa Borowsky, Isabelle Musielak, Karl-Wilhelm Koch, Karl-Wilhelm Koch, Regina Feederle, Constance Scharff, Karin Dedek, Karin Dedek, Henrik Mouritsen, Henrik Mouritsen

“…Subsequent immunohistochemical analyses revealed that the AAV2/9-EGFP serotype almost exclusively targeted photoreceptors: rods, various single cones (UV, blue, green, and red cones), and both (accessory and principal) members of double cones.DiscussionThe consistently high and photoreceptor-specific transduction efficiency makes the AAV2/9 serotype a powerful tool for carrying out genetic manipulations in avian retinal photoreceptors, thus opening a wealth of opportunities to investigate physiological aspects underlying retinal processing in birds, such as physiological recordings and/or post-transductional behavioural readouts for future vision-related research.…”
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Integrated xenosurveillance of Loa loa, Wuchereria bancrofti, Mansonella perstans and Plasmodium falciparum using mosquito carcasses and faeces: A pilot study in Cameroon. by Joseph Pryce, Nils Pilotte, Benjamin Menze, Allison R Sirois, Michael Zulch, Jean Pierre Agbor, Steven A Williams, Charles S Wondji, Lisa Reimer

“…Of these, 376 were preserved immediately while 394 were kept in pools to collect 36-hour E/F samples before processing. Carcasses and E/F were screened for L. loa DNA. …”
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Spectral Hadamard microscopy with metasurface-based patterned illumination by Jo Yongjae, Park Hyemi, Lee Seho, Kim Inki

“…Hadamard matrices, composed of mutually orthogonal vectors, are widely used in various applications due to their orthogonality. …”
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Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism by Adel Binbusayyis, Mohemmed Sha

“…In the beginning, data pre-processing addresses missing values and performs feature scaling for normalizing independent variables. …”
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Using transformers and Bi-LSTM with sentence embeddings for prediction of openness human personality trait by Anam Naz, Hikmat Ullah Khan, Tariq Alsahfi, Mousa Alhajlah, Bader Alshemaimri, Ali Daud

“…In this research work, we aim to explore diverse natural language processing (NLP) based features and apply state of the art deep learning algorithms for openness trait prediction. …”
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From Convolution to Attention: Transformer-Based Modeling for Multi-Day Wildfire Spread Forecasting by Parul Dubey, Nitin Rakesh, Pushkar Dubey, Pitshou Ntambu Bokoro

“…The proposed methodology constructs spatiotemporal tensors with learnable positional encodings, processed through a multi-head attention transformer to predict burnt area masks and spread direction vectors. …”
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Multifrequency backscatter classification of seabed sediments using MBES: an integrated approach with ground-truth validation by Moonsoo Lim, Jeongwon Kang, Sunhee Hwang, Eunho Jung, Byung-Cheol Kum, Jongsin Kim

“…MBES data were acquired at three frequencies (170, 300, and 450 kHz), and post-processed to produce frequency-specific backscatter mosaics and a composite red–green–blue image. …”
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Psychomedical named entity recognition method based on multi-level feature extraction and multi-granularity embedding fusion by Zixuan Liu, Guofang Zhang, Yanguang Shen

“…Abstract Named Entity Recognition (NER) in psychomedicine is one of the key tasks in natural language processing in psychomedicine. It aims to identify and classify specialized terms in psychomedical texts and provide powerful support for downstream tasks. …”
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