KCC2021 ¹ßÇ¥³í¹® Index

Index È®Àιæ¹ý

 <Oral¼¼¼Ç À妽º ¿¹½Ã> 23A-O1-1

 <Poster¼¼¼Ç À妽º ¿¹½Ã> 23A-P1-1

23A-O1 ¼¼¼Ç 1¹ø ¹ßÇ¥ÀÚ

23A-P1 ¼¼¼Ç 1¹ø µ¿¿µ»ó

¼¼¼Ç ÀϽô ÀÏÁ¤Ç¥ ÂüÁ¶

´ñ±Û ÀϽô ÀÏÁ¤Ç¥ ÂüÁ¶

¡¡

°Ë»ö ³í¹® : 748 Æí
³í¹®

¹øÈ£

Á¦ ¸ñ ¹ßÇ¥ÀÚ Index
334 ±ÕÇü ÀâÈù Àû´ëÀû »ý¼º ½Å°æ¸Á ÇнÀÀ» À§ÇÑ Z-score ±â¹Ý »ùÇøµ ±è»óÇå 23P-P12-7
335 Learning Densely Mutated Region Embeddings from SARS-CoV2 Whole Genomes for Clade-specific Representations via Density-based Clustering and Deep Learning ¹Ú¹Î¿ì 24A-O4-1
336 FDA ½ÂÀÎ ¾à¹°ÀÇ È­ÇÐÀû ¸ðƼÇÁ Ž»öÀ» À§ÇÑ ¸Ó½Å·¯´× ¸ðµ¨ °³¹ß ±èÁ¤¿ì 23P-P12-8
337 ARM 64ºñÆ® ¸¶ÀÌÅ©·Î ¼­¹ö ÄÁÅ×ÀÌ³Ê Å¬·¯½ºÅ͸µ ½Ã½ºÅÛ ±¸Çö À̼º¿ø 23A-P5-3
338 Fashion-HD: º¹¼ö »óǰÀ» Ȱ¿ëÇÏ´Â °íÈ­Áú ÆÐ¼Ç Âø¿ë¿µ»ó »ý¼ºÀ» À§ÇÑ µ¥ÀÌÅͼ¼Æ® ¹Ú¼øÂù 23A-O1-3
339 °í¼º´É ÀúÀåÀåÄ¡ ±â¹Ý Ű-¹ë·ù ½ºÅä¾îÀÇ CPU »ç¿ë·® ºÐ¼® ¼Û¿ëÁÖ 25A-O3-1
34 Çѱ¹¾î ¹®¹ý QA ½Ã½ºÅÛÀ» À§ÇÑ BERT ±â¹Ý ½ÃÄö½º ºÐ·ù¸ðµ¨ ¼Û´Ù¿¬ 23A-P3-4
340 [Çкλý³í¹®]Àεðº¥Ä¡: À¥ ±â¹Ý µ¥ÀÌÅÍ ÀúÀå ½Ã½ºÅÛÀ» À§ÇÑ ºñµ¿±â NoSQL º¥Ä¡¸¶Å© ³²»óÇö 25A-P1-6
341 ActiveBoostThief: ½Å·ÚÇÒ ¼ö ÀÖ´Â ´Éµ¿Àû ÇнÀÀ» ÀÌ¿ëÇÑ ¸ðµ¨ ÃßÃâ °ø°Ý ³²¿µÀº 24A-O4-12
342 [Çкλý³í¹®]µö ³×Æ®¿öÅ© ±â¹Ý X-ray ¿µ»ó ºÐ¼®À» ÀÌ¿ëÇÑ Covid-19 ÁßÁõµµ ºÐ¼® ±èÁöÇö 24P-P8-13
343 A Deep Learning Accelerator for a Typical Binary Neural Network Layer vqhieu 23A-O6-7
344 Àϻ硤ÀÏÁ¶ ¿¹Ãø¸ðµ¨ °ü¸®½Ã½ºÅÛ ±¸¼º¹æ¾È ±èµ¿ÁØ 23P-P12-9
345 °øÆòÇÑ Çë°¡¸®¾È ¾Ë°í¸®Áò ±â¹Ý ±ºÁý ºñÇà ½Ã½ºÅÛ ¹®¼ºÅ 25P-O12-2
346 À̽´ º¸°í¼­ÀÇ ·¹ÀÌºí °³¼ö ¿¹Ãø ¹ÚµµÁ¦ 25P-O6-4
347 ºñ¼±Çü ±â°èÇнÀ ±â¹ÝÀÇ Redis ÆÄ¶ó¹ÌÅÍ Æ©´× ¿¬±¸ ¼­ÁÖ¿¬ 24A-O2-7
348 [Çкλý³í¹®]¾Ç¼º ´ñ±Û ºÐ·ù¸¦ À§ÇÑ ¸¶ÀÌÅ©·Î ¼­ºñ½º ¾ÆÅ°ÅØÃ³¿Í ¸Þ½ÃÁö Å¥ ¹ÚÁø¼ö 24P-P8-14
350 [Çкλý³í¹®]¸³¸ð¼Ç ¼¾¼­¸¦ ÀÌ¿ëÇÑ µö·¯´× ±â¹Ý Çѱ¹ ¼ö¾î ±³À° À¥ ¾ÖÇø®ÄÉÀÌ¼Ç °³¹ß ¾çÁÖ¿¬ 24P-P8-15
351 Learning to Avoid Obstacles by Fast-Adapting Parameters to New Environment ±èÁØÈ£ 23P-P12-10
352 [Çкλý³í¹®]ARP(Address Resolution Protocol)¸¦ ÀÌ¿ëÇÑ ±ÙŰü¸®½Ã½ºÅÛ °­Çö¿ì 25A-P1-7
353 ºí·ÏüÀÎÀ» Ȱ¿ëÇÑ µö À¥ ÄÜÅÙÃ÷ Æ÷·»½Ä Áõ°Å ¼öÁý ¹æ¹ý ¹®Çö¼ö 23A-O5-4

/ 38 pages     List number


< BACK > < NEXT >   [ 12 page/ 38 pages ]

 [ÀÌÀü10°³] [  11  12  13  14  15  16  17  18  19  20  ]  [´ÙÀ½10°³]