Wissame Laddada¹ , Éric Saux²

Revue Internationale de Géomatique, Vol.31, No.1, pp. 111-133, 2022, DOI:10.3166/RIG31.111-133

Abstract Les empreintes spatiales, historiques ou acquises en temps réel, aident a la compréhension des dynamiques de leurs porteurs. Dans un contexte de navigation maritime côtière, la recherche présentée montre la démarche de mise en place d’un modèle de connaissances visant a une analyse sémantique des empreintes de navires. Ce modèle est défini a partir des connaissances recueillies auprès d’experts du domaine complétées par des descriptions textuelles et graphiques. Après avoir décrit les principes de navigation, nous présentons les étapes menant a un tel modèle de connaissances. La recherche est complétée par la formalisation de règles More >

Laure Nuninger¹ , Thérèse Libourel², Xavier Rodier³, Rachel Opitz⁴, Philip Verhagen⁵, Catherine Fruchart¹, Clément Laplaige³, Samuel Leturcq³, Nathanael Levoguer³

Revue Internationale de Géomatique, Vol.31, No.1, pp. 81-110, 2022, DOI:10.3166/RIG31.81-110

Abstract Dans cet article, nous proposons une nouvelle piste de raisonnement élaborée en interdisciplinarité avec des archéologues, conçue pour des études liées à la notion de mobilité. À l’aide d’études de cas, nous analysons comment les chercheurs ont identifié, conceptualisé et relié les traces matérielles décrivant divers processus de mobilité dans une région donnée. Nous élaborons ensuite la construction d’ontologies qui nous permettent de relier explicitement les éléments matériels, identifiés dans le paysage observé, aux connaissances ou à la théorie qui explique leur rôle et leurs relations au sein du processus de mobilité. En combinant les More >

L. Amaadour, I. Lahrch, O. Siyouri, K. Oualla, Z. Benbrahim, S. Arifi, C. Aarab, S. El Fakir, N. Mellas

Psycho-Oncologie, Vol.17, No.1, pp. 38-43, 2023, DOI:10.3166/pson-2022-0221

Abstract Introduction: La Covid-19 constitue une cause de plusieurs affections mentales, notamment chez les patients atteints de cancer qui sont déjà considérés comme une population vulnérable. Ainsi, l’objectif de la présente étude était d’évaluer les troubles psychologiques des patients suivis pour une maladie tumorale maligne, sous traitement médical systémique, ayant eu une infection au SARS-CoV2 ; ainsi que les conséquences que ces troubles psychologiques peuvent avoir sur l’adhésion aux soins oncologiques.
Méthode: Il s’agit d’une étude transversale sur une période de quatre mois (pic de la pandémie) menée au département d’oncologie médicale du centre hospitalier universitaire Hassan-II de… More >

Jianwei Zhang¹, Yue Yin¹, Lei Shi¹, Yi Han², Mi Zhou^3,*, Xihong Zhang⁴

Journal of Renewable Materials, Vol.11, No.6, pp. 2893-2911, 2023, DOI:10.32604/jrm.2023.025436

Abstract Dust is an environmental and health hazard. In this study, a new technology for dust suppressant is introduced using soybean urease with an optimal cementing solution. Calcium carbonate is produced by soybean urease and cementing solution, which bonds the soil particles towards a dust suppressant. A laboratory wind tunnel test is carried out to examine its effectiveness and discover possible optimization solutions. Several factors, including soybean meal concentration, cementing solution concentration, and volume of solution per unit area, are examined to quantify their influences on soil transport mass, evaporation ratio, evaporation rate, surface strength, water… More >

Dong Qing^1,*, Qi Song¹, Shuangyun Huang², Gening Xu¹

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2345-2370, 2023, DOI:10.32604/cmes.2023.026552

Abstract For the randomness of crane working load leading to the decrease of load spectrum prediction accuracy with time, an adaptive TSSA-HKRVM model for crane load spectrum regression prediction is proposed. The heterogeneous kernel relevance vector machine model (HKRVM) with comprehensive expression ability is established using the complementary advantages of various kernel functions. The combination strategy consisting of refraction reverse learning, golden sine, and Cauchy mutation + logistic chaotic perturbation is introduced to form a multi-strategy improved sparrow algorithm (TSSA), thus optimizing the relevant parameters of HKRVM. The adaptive updating mechanism of the heterogeneous kernel RVM… More >

M. V. Narayana¹, Vadla Pradeep Kumar², Ashok Kumar Nanda^2,*, Hanumantha Rao Jalla³, Subba Reddy Chavva⁴

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 587-607, 2023, DOI:10.32604/cmc.2023.034773

Abstract Mobile ad hoc networks (MANETs) are subjected to attack detection for transmitting and creating new messages or existing message modifications. The attacker on another node evaluates the forging activity in the message directly or indirectly. Every node sends short packets in a MANET environment with its identifier, location on the map, and time through beacons. The attackers on the network broadcast the warning message using faked coordinates, providing the appearance of a network collision. Similarly, MANET degrades the channel utilization performance. Performance highly affects network performance through security algorithms. This paper developed a trust management… More >

Muhammad Asad¹, Rashad Rasool Khan^2,*, Ahmed B. Aljuboory³, Muhammad Haroon U. Rashid⁴, Uttam Kumar⁵, Inzamam Ul Haq⁶, Aqsa Hafeez⁷, Ahmed Noureldeen⁸, Khadiga Alharbi^9,*

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1161-1172, 2023, DOI:10.32604/phyton.2023.026513

Abstract The beet armyworm (BAW), Spodoptera exigua (Lepidoptera: Noctuidae) is a highly destructive pest of vegetables and field crops. Management of beet armyworm primarily relies on synthetic pesticides, which is threatening the beneficial community and environment. Most importantly, the BAW developed resistance to synthetic pesticides with making it difficult to manage. Therefore, alternative and environment-friendly pest management tactics are urgently required. The use of pesticidal plant extracts provides an effective way for a sustainable pest management program. To evaluate the use of pesticidal plant extracts against BAW, we selected six plant species (Lantana camara, Aloe vera, Azadirachta indica, Cymbopogon citratus, Nicotiana tabacum , and… More >

Jiahao Wen, Zhijian Wang^*

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 749-765, 2023, DOI:10.32604/cmes.2023.023865

Abstract Since the existing prediction methods have encountered difficulties in processing the multiple influencing factors in short-term power load forecasting, we propose a bidirectional long short-term memory (BiLSTM) neural network model based on the temporal pattern attention (TPA) mechanism. Firstly, based on the grey relational analysis, datasets similar to forecast day are obtained. Secondly, the bidirectional LSTM layer models the data of the historical load, temperature, humidity, and date-type and extracts complex relationships between data from the hidden row vectors obtained by the BiLSTM network, so that the influencing factors (with different characteristics) can select relevant… More >

Allam Abumwais^*, Mahmoud Obaid

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 4951-4963, 2023, DOI:10.32604/cmc.2023.032822

Abstract Modern shared-memory multi-core processors typically have shared Level 2 (L2) or Level 3 (L3) caches. Cache bottlenecks and replacement strategies are the main problems of such architectures, where multiple cores try to access the shared cache simultaneously. The main problem in improving memory performance is the shared cache architecture and cache replacement. This paper documents the implementation of a Dual-Port Content Addressable Memory (DPCAM) and a modified Near-Far Access Replacement Algorithm (NFRA), which was previously proposed as a shared L2 cache layer in a multi-core processor. Standard Performance Evaluation Corporation (SPEC) Central Processing Unit (CPU)… More >

Nidhi Gour¹, Rajneesh Pareek¹, Karthikeyan Rajagopal^2,3, Himanshu Sharma¹, Mrim M. Alnfiai⁴, Mohammed A. AlZain⁴, Mehedi Masud⁵, Arun Kumar^6,*

Computer Systems Science and Engineering, Vol.45, No.3, pp. 2827-2835, 2023, DOI:10.32604/csse.2023.033341

Abstract Massive-Multiple Inputs and Multiple Outputs (M-MIMO) is considered as one of the standard techniques in improving the performance of Fifth Generation (5G) radio. 5G signal detection with low propagation delay and high throughput with minimum computational intricacy are some of the serious concerns in the deployment of 5G. The evaluation of 5G promises a high quality of service (QoS), a high data rate, low latency, and spectral efficiency, ensuring several applications that will improve the services in every sector. The existing detection techniques cannot be utilised in 5G and beyond 5G due to the high More >