Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals by Mesfer Al Duhayyim

“…Furthermore, the ResNet50 model is employed for feature extraction to capture complex spatial patterns in visual data. …”
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A two phase ensembled deep learning approach of prominent gene extraction and disease risk prediction by Prajna Paramita DEBATA, Alakananda TRIPATHY, Pournamasi PARHI, Smruti Rekha DAS

“… Unlocking novel insights from gene expression of individual patient profiles, clinicians and researchers can discern patterns, biomarkers, and therapies. Moreover, accurate classification enables the development of predictive models for prognosis and treatment response, facilitating personalized medicine approaches. …”
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Freeze-Dried Food in the Diet of Temporary Residents of the Far North by Evgeniy I. Titov, Irina S. Krasnova, Vera I. Ganina, Elena G. Semenova

“…Study objects and methods. The research featured scientific publications on two topics: 1) nutrition and diet of shift workers in the Far North, 2) development of freeze-dried products for long-term storage in extreme conditions. …”
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A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting by Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen

“…Achieving this objective necessitates the development of highly accurate river water level forecasts. …”
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Understanding EMS response times: a machine learning-based analysis by Peter Hill, Jakob Lederman, Daniel Jonsson, Peter Bolin, Veronica Vicente

“…Advanced ML techniques, including Gradient Boosting models, were applied to evaluate the influence of diverse variables such as call handling times, travel times, weather patterns, and resource availability. Feature engineering was employed to extract meaningful insights, and statistical models were used to validate the relationships between key predictors and response times. …”
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Monitoring and deformation of deep excavation engineering based on DFOS technology and hybrid deep learning by Yanli Peng, Jie Zhao, Yijiang Fan, Cheng Fan

“…Concurrently, as neural network models find application and development in deep excavation displacement prediction, traditional models face challenges such as insufficient accuracy and weak generalization capabilities, failing to meet the high-precision warning demands of practical engineering. …”
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SOPHROLOGY, PSYCHOSOMATICS, DEONTOLOGY AND CREATIVITY by Miroslav Prstačić

“…In this context, culture can be considered as a way of life that encompasses beliefs and religiosity, rituals and various arts (music, theatre, poetry, painting, dance…) mentality and patterns of historically transmitted symbols. At the same time, speech is marked by all physical, psychosomatic, psycho-emotional and spiritual manifestations and is the origin of hermeneutics itself. …”
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Deviations From Normative Functioning Underlying Emotional Episodic Memory Revealed Cross-Scale Neurodiverse Alterations Linked to Affective Symptoms in Distinct Psychiatric Disord... by Yang Xiao, Mingzhu Li, Xiao Zhang, Yuyanan Zhang, Yuqi Ge, Zhe Lu, Mengying Ma, Yuqing Song, Hao-Yang Tan, Dai Zhang, Weihua Yue, Hao Yan

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Characteristics and atmospheric drivers of large‐scale agrometeorologically relevant dry spells in sub‐seasonal to seasonal timescales over Zimbabwe by Gibbon I. T. Masukwedza, Victoria L. Boult, Melissa Lazenby, Martin C. Todd

“…Furthermore, LARDS exhibit overarching anticyclonic conditions impeding vertical cloud development with notable changes in the key local large‐scale mean climatic features influencing Southern Africa's weather. …”
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Clinical characteristics and epilepsy in genomic imprinting disorders: Angelman syndrome and Prader–Willi syndrome by Tzong-Shi Wang, Wen-Hsin Tsai, Li-Ping Tsai, Shi-Bing Wong

“…The distinctive gait pattern, excessive laughter, and characteristic electroencephalography features, which contain anterior-dominated, high-voltage triphasic delta waves intermixed with epileptic spikes, result in early suspicion of AS. …”
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Electricity Theft Detection Using Rule-Based Machine Leaning (rML) Approach by Sheyda Bahrami, Erol Yumuk, Alper Kerem, Beytullah Topçu, Ahmetcan Kaya

“…Even though consumption-based models have been applied extensively to the detection of power theft, it can be difficult to reliably identify theft instances based only on patterns of usage. In this paper, a novel rule-based combined machine learning (rML) technique is developed for power theft detection to address the drawbacks of systems that rely just on consumption patterns. …”
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Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

“…The model constructs feature vectors for all microbe-drug pairs based on known associations, microbe similarity, and drug similarity. …”
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Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel integrated CNN approach with skip mechanisms and GAN-based augmentation by Gunjan Shandilya, Sheifali Gupta, Ahmad Almogren, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…By boosting feature propagation, this integration increases the model’s ability to recognize minute patterns in cervical cell images, hence increasing classification accuracy. …”
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Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition by Rafael T. Sousa, Gustavo D. M. Silva, Paula L. L. Pinto, Juliano Backes, Amanda S. Mota, Thiago M. Paixao, Maria G. S. Teixeira, Wilian H. Hisatugu, Anilton S. Garcia, Kelly S. Prado, Rodrigo S. Dias, Marco A. Galletta, Hermano Tavares

“…Machine learning algorithms were utilized combined with different audio feature sets to analyze these recordings in conjunction with PHQ-4 questionnaire scores. …”
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Dynamic Evolution, Spatial Differences, and Convergence of Land Green Use Efficiency in Resource-based Cities by BIAN Zhiqiang, ZHANG Qianhua

“…［Objective］ To reveal the spatiotemporal evolution, distribution dynamics, spatial differences, and convergence characteristics of land green use efficiency in resource-based cities, in order to clarify the land use status, optimize the national spatial development pattern, and provide a reference for comprehensive green transformation of economic and social development. …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…InSAR techniques allow for high-precision measurements of surface deformation across large areas, making them invaluable in understanding and modeling subsidence patterns. When combined with machine learning approaches, these technologies offer even greater potential for developing predictive models and susceptibility maps, enabling proactive risk management. …”
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The effect application of nitrogen levels and intercropping ratios of pea (Pisum sativum) and lettuce (Lactuca sativa) by Elham Raftari, Ali Nakhzari Moghaddam, Mehdi Mollashahi, Hossein Hosseini Moghaddam

“…Introduction    The practice of growing two or more crops simultaneously in the same field is called intercropping and it is a common feature in traditional farming of small landholders. …”
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Synthesis of multicolored photoluminescent carbon nanodots and applications to secured tags in anti-counterfeiting, traceability and digital passport product by Aïssatou Coumba Sow, Etienne Palleau, Isabelle Fabre–Francke, Nicolas Ratel-Ramond, Cécile Marcelot, Laurence Ressier

“…With the objective of achieving better product traceability, generating digital passport product and combating counterfeiting, we demonstrate a fully bio-sourced approach featuring photoluminescent carbon nanodot-based tags. …”
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Automated analysis of retinal microcirculation in type 1 diabetes mellitus by Yu. N. Yusef, M. H. Durzhinskaya, V. G. Pavlov, D. V. Petrachkov, I. B. Gurevich, V. V. Yashina, A. T. Tleubaev, V. V. Fadeyev, I. V. Poluboyarinova, A. E. Goldsmid, R. А. Karamullina, D. V. Lipatov, M. V. Budzinskaya

“…BACKGROUND: The paper is dedicated to the assessment of the retinal microvasculature in patients with type 1 diabetes mellitus (DM) with various features of the clinical course and different stages of diabetic retinopathy (DR). …”
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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…Additionally, we developed a hybrid deep learning model integrating RegNet and FBNet architectures to enhance feature extraction and classification performance. …”
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