A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes by Pradeep Kumar Yadalam, Amit Rajabhau Pawar, Prabhu Manickam Natarajan, Carlos M. Ardila

“…The proposed DualFit model architecture consists of two main branches: a Text Processing Branch for converting textual data into dense vectors and a Feature Processing Branch for analyzing numerical and categorical data. …”
Get full text

FPGA Programming Challenges When Estimating Power Spectral Density and Autocorrelation in Coherent Doppler Lidar Systems for Wind Sensing by Sameh Abdelazim, David Santoro, Fred Moshary

“…The second algorithm computes the autocorrelation of the received signals and accumulates the results over the same number of pulses. Both signal pre-processing algorithms are initially developed as logic designs and compiled using the Xilinx System Generator toolset to produce a hardware VLSI image. …”
Get full text

Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter by Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Mohammed M. Alhaider

“…To reduce computational complexity, the FS-MPC selectively employs 30 out of 64 switching vectors, ensuring faster processing without sacrificing performance. …”
Get full text

SUPERMAGOv2: Protein Function Prediction via Transformer Embeddings and Bitscore-Weighted Features by Gabriel Bianchin de Oliveira, Helio Pedrini, Zanoni Dias

“…Our machine learning-based model (SUPERMAGOv2) utilizes transformer-based backbones to extract features from multiple layers, which are then processed by six multilayer perceptrons that incorporate a novel bitscore-weighted input derived from DIAMOND alignments, and by an image classification model that converts the extracted feature vectors into images. …”
Get full text

An Efficient Optimal CapsNet Model-Based Computer-Aided Diagnosis for Gastrointestinal Cancer Classification by Fahdah A Almarshad, Prasanalakshmi Balaji, Liyakathunisa Syed, Eman Aljohani, Santhi Muttipoll Dharmarajlu, Thavavel Vaiyapuri, Nourah Ali AlAseem

“…To achieve it, the SOADL-GCC model employs a bilateral filtering (BF) approach for the noise removal process and enhances image quality. Besides, the SOADL-GCC technique uses a capsule network (CapsNet) model for deriving the feature vectors from preprocessed images. …”
Get full text

Combined formаtion of a cryptographic key using synchronized artificial neural networks by M. L. Radziukevich, V. F. Golikov

“…The analysis of the influence of network parameters on the process of eliminating the bit mismatch at the second stage is carried out. …”
Get full text

DEREGULATED EXPRESSIONS OF MYC ALTER THE EXPRESSIONS OF tRNAS IN BREAST CANCER CELLS by Pervin Elvan Tokgün, Onur Tokgün

“…Objective: The protein synthesis process is started with DNA being transcribed into mRNA in the nucleus, then mRNA is transported to the cytoplasm and attaches to a ribosome in order to be translated into a protein. …”
Get full text

Reducing the dynamic range of infrared images based on block-priority equalization and compression of histograms by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

“…As a result, the total number of alignment vectors is reduced in proportion to the ratio of subsets sizes and the computational complexity of the dynamic range transformation is reduced.Conclusion. …”
Get full text

Efficient network attack path optimization method based on prior knowledge-based PPO algorithm by Qiuxiang Li, Jianping Wu

“…Based on these rules, action mask vectors are generated before each action sampling phase to modify the distribution of the output of the policy network. …”
Get full text

Open Radio Access Networks “O-RAN” SystemsThroughput improvement) by Russul Qasim, Ismail S. Baqer

“…In this work, we balance the spectral efficiency and the required power, which will reduce the signalling overheads and processing in high-density radio access networks. More specifically, a linear channel estimation (based on the MMSE technique) is employed to design the Conjugate Beamforming vectors. …”
Get full text

A Combined Approach to Safety and Security of IoT by Applying Fault Tree Analysis and Attack Trees with Minimal Cut Sets by Mohammad Rezaul Karim, Sohag Kabir, Ci Lei, Raluca Lefticaru, Mohammad Abdul Baset

“…FTA systematically identifies root causes of system failures, while AT models attack vectors and their probabilities. By deriving MCS—minimal combinations of safety faults and security breaches—the approach reveals critical scenarios where failures and attacks interact, enabling prioritized mitigation. …”
Get full text

DeepContainer: A Deep Learning-based Framework for Real-time Anomaly Detection in Cloud-Native Container Environments by Ke Xiong, Zhonghao Wu,  Xuzhong Jia

“…Comprehensive security testing validates the system's effectiveness across multiple attack vectors, including network-based attacks, resource exhaustion attempts, and access violations. …”
Get full text

Short Text Semantic Similarity Measurement Approach Based on Semantic Network by Naamah Hussien Hameed, Adel M. Alimi, Ahmed T. Sadiq

“… Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with the large increase in the volume of textual data that is produced daily. …”
Get full text

The complex rupture evolution of the long and slow, tsunamigenic 2021 South Sandwich Islands earthquake by Ryo Yamaguchi, Yuji Yagi, Ryo Okuwaki, Bogdan Enescu

“…This method allows us to suitably reduce the effect of the time-increasing uncertainty of the Green’s function and the effect of modelling errors related to the fault geometry. We found the slip vectors of the 400 km long rupture area rotate clockwise to the south, corresponding to the clockwise rotation of the trench strike. …”
Get full text

Phylogeny and divergence time estimation of the subfamily Amphipsyllinae based on the Frontopsylla diqingensis mitogenome by Ju Pu, Xiaoxia Lin, Wenge Dong

“…Fleas are primarily parasites of small mammals and serve as essential vectors of the transmission of plague. The subfamily Amphipsyllinae (Siphonaptera: Leptopsyllidae) consists of 182 species across 13 genera, widely distributed worldwide. …”
Get full text

Enhancing Cyber Security: Comparing the Accuracy of the Bert Model with Other Common Deep Learning Models in Identifying Email Spam by Tao Xu

“…Data preprocessing included stemming, lemmatization, and text vectorization using Word2Vec to enhance feature extraction. …”
Get full text

Coordinated surveillance system under the One Health approach for cross‐border pathogens that threaten the Union – options for sustainable surveillance strategies for priority path... by European Food Safety Authority (EFSA), John Berezowski, Katinka De Balogh, Fernanda C Dórea, Simon Ruegg, Alessandro Broglia, Gabriele Zancanaro, Andrea Gervelmeyer

“…Finally, there is a roadmap providing an overall description of the steps in the process of developing a surveillance system in order to apply for the grant.…”
Get full text

Fatty acid oxidation participates in resistance to nutrient-depleted environments in the insect stages of Trypanosoma cruzi. by Rodolpho Ornitz Oliveira Souza, Flávia Silva Damasceno, Sabrina Marsiccobetre, Marc Biran, Gilson Murata, Rui Curi, Frédéric Bringaud, Ariel Mariano Silber

“…Trypanosoma cruzi, the parasite causing Chagas disease, is a digenetic flagellated protist that infects mammals (including humans) and reduviid insect vectors. Therefore, T. cruzi must colonize different niches in order to complete its life cycle in both hosts. …”
Get full text

ORGANIZING, STRUCTURING AND UNIFICATION OF CREDIT RISK ESTIMATE PROBLEMS WITHINTHE COMMERCIAL LENDING OF AGRICULTURAL ENTERPRISES by Zotov V.P., Chernichenko S.G., Chernysheva N.M.

“…The risk management process is based on the evaluation procedure that encourages authors to concentrate on the study of evaluation problems as the fundamental components of the risk management system. …”
Get full text

Graph Isomorphism and Hybrid-Order Residual Gated Graph Neural Network for Session-Based Recommendation by WANG Yonggui, YU Qi

“…Firstly, graph isomorphic network is used to aggregate feature vectors of adjacent items, which can effectively fuse global and local information, solving the problem that graph neural network is good at capturing local connections between nodes and ignoring global information. …”
Get full text