LIVIVO - Search results -

Search results

Result 1 - 10 of total 55

Search options

Article: Non-smooth Bayesian learning for artificial neural networks.

Fakhfakh, Mohamed / Chaari, Lotfi / Bouaziz, Bassem / Gargouri, Faiez

Journal of ambient intelligence and humanized computing

2022 , Page(s) 1–19

Abstract: Artificial neural networks (ANNs) are being widely used in supervised machine learning to analyze signals or images for many applications. Using an annotated learning database, one of the main challenges is to optimize the network weights. A lot of work ... ...

Abstract	Artificial neural networks (ANNs) are being widely used in supervised machine learning to analyze signals or images for many applications. Using an annotated learning database, one of the main challenges is to optimize the network weights. A lot of work on solving optimization problems or improving optimization methods in machine learning has been proposed successively such as gradient-based method, Newton-type method, meta-heuristic method. For the sake of efficiency, regularization is generally used. When non-smooth regularizers are used especially to promote sparse networks, such as the
Language	English
Publishing date	2022-06-25
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2543187-0
ISSN	1868-5145 ; 1868-5137
ISSN (online)	1868-5145
ISSN	1868-5137
DOI	10.1007/s12652-022-04073-8
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Details ▾
- Full text online
- Order with fees

Article: A deep learning-based approach for detecting plant organs from digitized herbarium specimen images

Triki, Abdelaziz / Bouaziz, Bassem / Mahdi, Walid

Ecological informatics. 2022 July, v. 69

2022

Abstract: Herbarium specimens are excellent sources of botanical information to facilitate understanding and monitoring the evolution of plants and their effects on global climate change. Globally, many herbaria have undertaken digitization projects of herbarium ... ...

Abstract	Herbarium specimens are excellent sources of botanical information to facilitate understanding and monitoring the evolution of plants and their effects on global climate change. Globally, many herbaria have undertaken digitization projects of herbarium specimens to preserve them and make them accessible in online repositories to botanists and ecologists. Automated detection of plant organs such as plant leaves, buds, flowers, and fruits on the digitized herbarium specimen images provides valuable information in various scientific contexts. We developed a deep learning approach based on the refined YOLO-V3 approach to detect plant organs within the digitized herbarium specimen images effectively. The proposed approach combines ResNet and DenseNet architectures to improve feature extraction capabilities. Also, a new scale of feature map is added to the existing scales to address the problem of YOLO-V3's low performance in detecting small plant organs. The experimental results demonstrate that our proposed approach can detect organs of different sizes within different specimens, where the precision and recall reached 94.2% and 95.5%, respectively.
Keywords	automation ; climate change ; evolution ; herbaria
Language	English
Dates of publication	2022-07
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	2212016-6
ISSN	1878-0512 ; 1574-9541
ISSN (online)	1878-0512
ISSN	1574-9541
DOI	10.1016/j.ecoinf.2022.101590
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 7643: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Article: Exploratory study of the acute and mid-term effects of using a novel dynamic meeting environment (Aeris

Ammar, Achraf / Boujelbane, Mohamed Ali / Simak, Marvin Leonard / Fraile-Fuente, Irene / Trabelsi, Khaled / Bouaziz, Bassem / Rizzi, Nikolas / Schöllhorn, Wolfgang I

Frontiers in human neuroscience

2023 Volume 17, Page(s) 1282728

Abstract: The purpose of the present study was to assess the acute and mid-term effects of the dynamic ... ...

Abstract	The purpose of the present study was to assess the acute and mid-term effects of the dynamic aeris
Language	English
Publishing date	2023-11-23
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2425477-0
ISSN	1662-5161
ISSN	1662-5161
DOI	10.3389/fnhum.2023.1282728
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Convolutional Neural Network for Drowsiness Detection Using EEG Signals.

Chaabene, Siwar / Bouaziz, Bassem / Boudaya, Amal / Hökelmann, Anita / Ammar, Achraf / Chaari, Lotfi

Sensors (Basel, Switzerland)

2021 Volume 21, Issue 5

Abstract: Drowsiness detection (DD) has become a relevant area of active research in biomedical signal processing. Recently, various deep learning (DL) researches based on the EEG signals have been proposed to detect fatigue conditions. The research presented in ... ...

Abstract	Drowsiness detection (DD) has become a relevant area of active research in biomedical signal processing. Recently, various deep learning (DL) researches based on the EEG signals have been proposed to detect fatigue conditions. The research presented in this paper proposes an EEG classification system for DD based on DL networks. However, the proposed DD system is mainly realized into two procedures; (i) data acquisition and (ii) model analysis. For the data acquisition procedure, two key steps are considered, which are the signal collection using a wearable
MeSH term(s)	Electroencephalography ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Wakefulness
Language	English
Publishing date	2021-03-03
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s21051734
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: A Convolutional Neural Network for Lentigo Diagnosis

Zorgui, Sana / Chaabene, Siwar / Bouaziz, Bassem / Batatia, Hadj / Chaari, Lotfi

The Impact of Digital Technologies on Public Health in Developed and Developing Countries

Abstract: Using Reflectance Confocal Microscopy (RCM) for lentigo diagnosis is today considered essential. Indeed, RCM allows fast data acquisition with a high spatial resolution of the skin. In this paper, we use a deep convolutional neural network (CNN) to ... ...

Abstract	Using Reflectance Confocal Microscopy (RCM) for lentigo diagnosis is today considered essential. Indeed, RCM allows fast data acquisition with a high spatial resolution of the skin. In this paper, we use a deep convolutional neural network (CNN) to perform RCM image classification in order to detect lentigo. The proposed method relies on an InceptionV3 architecture combined with data augmentation and transfer learning. The method is validated on RCM data and shows very efficient detection performance with more than 98% of accuracy.
Keywords	covid19
Publisher	PMC
Document type	Article ; Online
DOI	10.1007/978-3-030-51517-1_8
Database	COVID19

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Article ; Online: EEG-Based Hypo-vigilance Detection Using Convolutional Neural Network

Boudaya, Amal / Bouaziz, Bassem / Chaabene, Siwar / Chaari, Lotfi / Ammar, Achraf / Hökelmann, Anita

The Impact of Digital Technologies on Public Health in Developed and Developing Countries

Abstract: Hypo-vigilance detection is becoming an important active research areas in the biomedical signal processing field. For this purpose, electroencephalogram (EEG) is one of the most common modalities in drowsiness and awakeness detection. In this context, ... ...

Abstract	Hypo-vigilance detection is becoming an important active research areas in the biomedical signal processing field. For this purpose, electroencephalogram (EEG) is one of the most common modalities in drowsiness and awakeness detection. In this context, we propose a new EEG classification method for detecting fatigue state. Our method makes use of a and awakeness detection. In this context, we propose a new EEG classification method for detecting fatigue state. Our method makes use of a Convolutional Neural Network (CNN) architecture. We define an experimental protocol using the Emotiv EPOC+ headset. After that, we evaluate our proposed method on a recorded and annotated dataset. The reported results demonstrate high detection accuracy (93%) and indicate that the proposed method is an efficient alternative for hypo-vigilance detection as compared with other methods.
Keywords	covid19
Publisher	PMC
Document type	Article ; Online
DOI	10.1007/978-3-030-51517-1_6
Database	COVID19

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Article: Moderators of the Impact of (Poly)Phenols Interventions on Psychomotor Functions and BDNF: Insights from Subgroup Analysis and Meta-Regression

Ammar, Achraf / Trabelsi, Khaled / Boukhris, Omar / Bouaziz, Bassem / Müller, Patrick / Glenn, Jordan M / Chamari, Karim / Müller, Notger / Chtourou, Hamdi / Driss, Tarak / Hökelmann, Anita

Nutrients. 2020 Sept. 19, v. 12, no. 9

2020

Abstract: Background: Recent anti-aging interventions have shown contradictory impacts of (poly)phenols regarding the prevention of cognitive decline and maintenance of brain function. These discrepancies have been linked to between-study differences in ... ...

Abstract	Background: Recent anti-aging interventions have shown contradictory impacts of (poly)phenols regarding the prevention of cognitive decline and maintenance of brain function. These discrepancies have been linked to between-study differences in supplementation protocols. This subgroup analysis and meta-regression aimed to (i) examine differential effects of moderator variables related to participant characteristics and supplementation protocols and (ii) identify practical recommendations to design effective (poly)phenol supplementation protocols for future anti-aging interventions. Methods: Multiple electronic databases (Web of Science; PubMed) searched for relevant intervention published from inception to July 2019. Using the PICOS criteria, a total of 4303 records were screened. Only high-quality studies (n = 15) were included in the final analyses. Random-effects meta-analysis was used, and we calculated standard differences in means (SDM), effect size (ES), and 95% confidence intervals (CI) for two sufficiently comparable items (i.e., psychomotor function and brain-derived neurotrophic factor (BDNF)). When significant heterogeneity was computed (I² > 50%), a subgroup and meta-regression analysis were performed to examine the moderation effects of participant characteristics and supplementation protocols. Results: The reviewed studies support the beneficial effect of (poly)phenols-rich supplementation on psychomotor functions (ES = -0.677, p = 0.001) and brain plasticity (ES = 1.168, p = 0.028). Subgroup analysis revealed higher beneficial impacts of (poly)phenols (i) in younger populations compared to older (SDM = -0.89 vs. -0.47 for psychomotor performance, and 2.41 vs. 0.07 for BDNF, respectively), (ii) following an acute compared to chronic supplementation (SDM = -1.02 vs. -0.43 for psychomotor performance), and (iii) using a phenolic compound with medium compared to low bioavailability rates (SDM = -0.76 vs. -0.68 for psychomotor performance and 3.57 vs. 0.07 for DBNF, respectively). Meta-regressions revealed greater improvement in BDNF levels with lower percentages of female participants (Q = 40.15, df = 6, p < 0.001) and a skewed scatter plot toward a greater impact using higher (poly)phenols doses. Conclusion: This review suggests that age group, gender, the used phenolic compounds, their human bioavailability rate, and the supplementation dose as the primary moderator variables relating to the beneficial effects of (poly)phenol consumption on cognitive and brain function in humans. Therefore, it seems more advantageous to start anti-aging (poly)phenol interventions in adults earlier in life using medium (≍500 mg) to high doses (≍1000 mg) of phenolic compounds, with at least medium bioavailability rate (≥9%).
Keywords	age ; bioavailability ; brain ; cognition ; cognitive disorders ; dosage ; females ; humans ; meta-analysis ; neuroplasticity ; phenol ; regression analysis
Language	English
Dates of publication	2020-0919
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
Note	NAL-light
ZDB-ID	2518386-2
ISSN	2072-6643
ISSN	2072-6643
DOI	10.3390/nu12092872
Database	NAL-Catalogue (AGRICOLA)

Order via subito

Article ; Online: Psychosocial Effects and Use of Communication Technologies during Home Confinement in the First Wave of the COVID-19 Pandemic in Italy and The Netherlands.

Bastoni, Sofia / Wrede, Christian / Ammar, Achraf / Braakman-Jansen, Annemarie / Sanderman, Robbert / Gaggioli, Andrea / Trabelsi, Khaled / Masmoudi, Liwa / Boukhris, Omar / Glenn, Jordan M / Bouaziz, Bassem / Chtourou, Hamdi / van Gemert-Pijnen, Lisette

International journal of environmental research and public health

2021 Volume 18, Issue 5

Abstract: 1) Background: The COVID-19 pandemic forced people from all around the globe to strongly modify their daily routines, putting a significant strain on the social aspects of daily lives. While the first wave of the pandemic was a very challenging time in ... ...

Abstract	(1) Background: The COVID-19 pandemic forced people from all around the globe to strongly modify their daily routines, putting a significant strain on the social aspects of daily lives. While the first wave of the pandemic was a very challenging time in all countries, it is still uncertain whether various lockdown intensities and infection rates differed regarding their psychosocial impact. This work therefore aimed to investigate (i) the psychosocial effects of home confinement in two European countries that underwent different lockdown intensities: Italy and the Netherlands and (ii) the role of communication technology in relation to feelings of loneliness. (2) Methods: A cross-sectional online survey inquiring about different psychosocial variables and the use of and satisfaction towards communication technology was circulated among the general public during the first wave of the COVID-19 pandemic. In total, 629 participants (66% female, 68% from the Netherlands) answered each question twice, referring to "before" and "during" the pandemic. (3) Results: We found significant negative effects of COVID-19 home confinement on depressive feelings (
MeSH term(s)	COVID-19 ; Communicable Disease Control ; Communication ; Cross-Sectional Studies ; Europe ; Female ; Humans ; Italy/epidemiology ; Male ; Netherlands/epidemiology ; Pandemics ; SARS-CoV-2
Language	English
Publishing date	2021-03-05
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph18052619
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

Order via subito

Details ▾
- Full text online
- Order with fees

Article ; Online: Distance Motor Learning during the COVID-19 Induced Confinement: Video Feedback with a Pedagogical Activity Improves the Snatch Technique in Young Athletes.

Souissi, Mohamed Abdelkader / Ammar, Achraf / Trabelsi, Omar / Glenn, Jordan M / Boukhris, Omar / Trabelsi, Khaled / Bouaziz, Bassem / Zmijewski, Piotr / Souissi, Hichem / Chikha, Anis Ben / Driss, Tarak / Chtourou, Hamdi / Hoekelmann, Anita / Souissi, Nizar

International journal of environmental research and public health

2021 Volume 18, Issue 6

Abstract: The purpose of the present study was to investigate which of two strategies, Video Feedback with Pedagogical Activity (VF-PA) or Video Feedback (VF), would be more beneficial for the remote error correction of the snatch weightlifting technique during ... ...

Abstract	The purpose of the present study was to investigate which of two strategies, Video Feedback with Pedagogical Activity (VF-PA) or Video Feedback (VF), would be more beneficial for the remote error correction of the snatch weightlifting technique during the confinement period. Thirty-five school aged children with at least three months of weightlifting experience were randomized to one of three training conditions: VF-PA, VF or the Control group (CONT). Subjects underwent test sessions one week before (T0) and one day after (T1) a six-session training period and a retention test session a week later (T2). During each test session, the Kinovea version 0.8.15 software measured the kinematic parameters of the snatch performance. Following distance learning sessions (T1), the VF-PA improved various kinematic parameters (i.e., barbell horizontal displacements, maximum height, looping and symmetry) compared with T0 (
MeSH term(s)	Athletes ; COVID-19 ; Child ; Education, Distance ; Feedback ; Humans ; SARS-CoV-2
Language	English
Publishing date	2021-03-16
Publishing country	Switzerland
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph18063069
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

Order via subito

Details ▾
- Full text online
- Order with fees

Article ; Online: Does observance of Ramadan affect sleep in athletes and physically active individuals? A systematic review and meta-analysis.

Trabelsi, Khaled / Ammar, Achraf / Glenn, Jordan M / Boukhris, Omar / Khacharem, Aimen / Bouaziz, Bassem / Zmijewski, Piotr / Lanteri, Paola / Garbarino, Sergio / Clark, Cain C T / Chamari, Karim / Bragazzi, Nicola L / Hill, David / Chtourou, Hamdi

Journal of sleep research

2021 Volume 31, Issue 3, Page(s) e13503

Abstract: The purpose of this systematic review and meta-analysis is to provide an accurate description of the effect of Ramadan observance on sleep duration, sleep quality, daily nap duration, and daytime sleepiness in athletes and physically active individuals. ... ...

Abstract	The purpose of this systematic review and meta-analysis is to provide an accurate description of the effect of Ramadan observance on sleep duration, sleep quality, daily nap duration, and daytime sleepiness in athletes and physically active individuals. Five electronic databases (PubMed, Web of Science, Scopus, Wiley, and Taylor and Francis) were used to search for relevant studies conducted with athletes or physically active individuals during Ramadan, published in any language, and available before May 23, 2021. Studies that included assessments of sleep quantity and/or quality, and/or daytime sleepiness, and/or daily naps in athletes and physically active individuals were included. The methodological quality of the studies was assessed using "QualSyst". Of the 18 papers included in this study (298 participants in total), 14 were of strong quality, two were moderate, and the remaining two were rated as weak. Individuals who continued to train during Ramadan experienced a decrease in sleep duration (number of studies, K = 17, number of participants, N = 289, g = -0.766, 95% confidence interval [CI] -1.199 to -0.333, p = 0.001). Additionally, the global score of the Pittsburgh Sleep Quality Index increased from 4.053 (K = 5, N = 65, 95% CI 3.071-5.034) pre-Ramadan, to 5.346 (95% CI 4.362-6.333) during Ramadan, indicating a decrease in sleep quality. The duration of daytime naps increased during compared to pre-Ramadan (K = 2, N = 31, g = 1.020, 95% CI 0.595-1.445, p = 0.000), whereas Epworth Sleepiness Scale scores remained unchanged during versus pre-Ramadan (K = 3, N = 31, g = 0.190, 95% CI -0.139-0.519, p = 0.257). In conclusion, individuals who continued to train during Ramadan experienced a decrease in sleep duration, impairment of sleep quality, and increase in daytime nap duration, with no change in daytime sleepiness levels.
MeSH term(s)	Athletes ; Disorders of Excessive Somnolence ; Fasting ; Humans ; Islam ; Sleep
Language	English
Publishing date	2021-10-24
Publishing country	England
Document type	Journal Article ; Meta-Analysis ; Review ; Systematic Review
ZDB-ID	1122722-9
ISSN	1365-2869 ; 0962-1105
ISSN (online)	1365-2869
ISSN	0962-1105
DOI	10.1111/jsr.13503
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3464: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 343: Show issues

Order via subito

Details ▾

To top

Full text online

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

Kategorien

Inter-library loan at ZB MED

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito