Adenovirus-Based Single-Dose Vaccines for SARS-CoV-2: A Review by Vivek P Chavda, Anita A. Mehta, Hajra Zafar, Faisal Raza, Ana Cláudia Paiva-Santos, Pankti C. Balar, Vasso Apostolopoulos, Lalitkumar Vora

“…Many features of the Ad vector render it an appealing vaccine carrier for contagious diseases, including high titer, ease of processing, high effectiveness, low immunogenicity in clinical trials, and consistency in pharmaceutical packaging and shipment processes. …”
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A Keyframe Extraction Method for Assembly Line Operation Videos Based on Optical Flow Estimation and ORB Features by Xiaoyu Gao, Hua Xiang, Tongxi Wang, Wei Zhan, Mengxue Xie, Lingxuan Zhang, Muyu Lin

“…Each video frame is first encoded into a feature vector using the ORB algorithm and a bag-of-visual-words model. …”
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Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic map by Fatima Asiri, Wajdan Al Malwi, Tamara Zhukabayeva, Ibtehal Nafea, Abdullah Aziz, Nadhmi A. Gazem, Abdullah Qayyum

“…Using the Chen chaotic system, three random number vectors are generated. The first two vectors are employed to shuffle each bit plane of the plaintext image, rearranging rows and columns. …”
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Functional MRI Assessment of Brain Activity Patterns Associated with Reading in Medulloblastoma Survivors by Josue L. Dalboni da Rocha, Ping Zou Stinnett, Matthew A. Scoggins, Samuel S. McAfee, Heather M. Conklin, Amar Gajjar, Ranganatha Sitaram

“…Alterations in brain regions involved in visual processing and orthographic recognition during rapid naming tasks imply disruptions in the ventral visual pathway associated with normal orthographic processing. …”
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Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models by Amin Amiri, Alireza Ghaffarnia, Nafiseh Ghaffar Nia, Dalei Wu, Yu Liang

“…In summary, Harmonizer integrates natural language processing and signal processing into a coherent tokenization paradigm for efficient, interpretable multimodal learning.…”
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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

“…This study explores the use of machine learning (ML) and deep learning (DL) techniques in processing Electroencephalography (EEG) signals to detect various neurological disorders, including Epilepsy, Autism Spectrum Disorder (ASD), and Alzheimer’s disease. …”
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Private detection of relatives in forensic genomics using homomorphic encryption by Fillipe D. M. de Souza, Hubert de Lassus, Ro Cammarota

“…HE not only permits the processing of PII as soon as it is collected and encrypted, such as at a crime scene, but also expands the potential for data processing by multiple entities and artificial intelligence services. …”
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Evaluating the efficacy and site-specific performance of machine learning approaches: A comprehensive review of autism detection models by Deblina Mazumder Setu, Tania Islam, Md Maklachur Rahman, Samrat Kumar Dey, Tazizur Rahman

“…For ML models, LR requires less processing time compared to others with high accuracy, making it a suitable choice for efficiency-driven applications, while CNN is optimal for neuroimaging-based autism detection. …”
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Fusion of Taq DNA polymerase with single-stranded DNA binding-like protein of Nanoarchaeum equitans-Expression and characterization. by Marcin Olszewski, Marta Śpibida, Maciej Bilek, Beata Krawczyk

“…A novel recombinant gene was obtained which was cloned into the pET-30 Ek/LIC vector and introduced into E. coli for expression. …”
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An enhanced classification system of various rice plant diseases based on multi-level handcrafted feature extraction technique by Yasmin M. Alsakar, Nehal A. Sakr, Mohammed Elmogy

“…The explosive growth in image processing, computer vision, and deep learning techniques provides effective and innovative agriculture solutions for automatically detecting and classifying these diseases. …”
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A method for IoT devices test case generation using language models by Sumit Kumar, Kiran Napte, Ruchi Rani, Sanjeev Kumar Pippal

“…The rapid growth of IoT and electronic systems has led to complex real-time data processing and management solutions. However, these systems present significant software and hardware testing challenges, often requiring manual, time-consuming testing efforts. …”
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Methodology of a spatial approach in library science: prevalence and specificity of applying by T. F. Berestova, A. V. Mikhailova

“…This interaction provides course of integrative processes between subjects. The library science has already studied some form of interaction, identified a number of areas of integration processes, which are involved and initiated by the library. …”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…Efficiency, low-power consumption, and real-time processing in embedded machine learning implementations are critical, particularly for models deployed in environments with large-scale data processing and resource-constrained environments. …”
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Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data by Sencer Melih Deniz, Ahmet Ademoglu, Adil Deniz Duru, Tamer Demiralp

“…<b>Background/Objectives:</b> Emotion and cognition, two essential components of human mental processes, have traditionally been studied independently. …”
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Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models by Abir Das, Saurabh Singh, Jaejeung Kim, Tariq Ahamed Ahanger, Anil Audumbar Pise

“…The BCI architecture processes electroencephalography signals through three critical stages: data pre-processing, feature extraction, and classification. …”
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Heart disease prediction using ECG-based lightweight system in IoT based on meta-heuristic approach by Amin Abbaszadeh, Mahdi Bazargani

“…Initially, pre-processing is accomplished using the ECG signals to eliminate noise and improve signal smoothness. …”
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Cloud-Driven Data Analytics for Growing Plants Indoor by Nezha Kharraz, István Szabó

“…Built with Apache NiFi (Niagara Files), the pipeline facilitates real-time ingestion, processing, and storage of IoT sensor data measuring light, moisture, and nutrient levels. …”
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Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization by Khadija Kanwal, Khawaja Tehseen Ahmad, Aiza Shabir, Li Jing, Helena Garay, Luis Eduardo Prado Gonzalez, Hanen Karamti, Imran Ashraf

“…Abstract The process of image formulation uses semantic analysis to extract influential vectors from image components. …”
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Tracking objects using Grassmann manifold appearance modeling based on wireless multimedia sensor networks by Yinghong Xie, Xiaosheng Yu, Chengdong Wu

“…Visual object tracking methods based on wireless multimedia sensor network is one of the research hotspots while the present linear method for processing feature vectors often lead to the tracking drift when tracking object with significant nonplanar pose variations through wireless sensor networks. …”
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A Weight-Generating Approach of a Deep Neural Network for the Parameter Identification of Dynamic Systems by Weimeng Chu, Shunan Wu, Fangzhou Fu, Zhe Ye, Zhigang Wu

“…Unlike the traditional learning process, a weight-generating approach to quickly generate the weight vectors of a deep neural network model is proposed, which can be used for parameter identification of a dynamic system. …”
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